April 27, 2025 • 40 mins
In this episode of the Nonprofit411 Podcast, Sarah Barton is joined by Anne Murphy, founder of She Leads AI and CEO of Empowered Fundraiser. Anne shares her journey into fundraising and how she transitioned from higher education fundraising to launching a consultancy that helps nonprofits leverage AI to streamline operations and enhance impact.
Anne discusses the challenges nonprofits face, particularly with limited resources, and explains how AI can help nonprofits optimize their staff energy, enhance their operations, and improve donor engagement. Through AI, Anne has been able to help nonprofits increase efficiency without losing the human touch that is central to their mission.
From AI training and governance to implementation, Anne offers insights into how nonprofits can stay relevant in a rapidly changing landscape. This episode is filled with practical advice for nonprofit leaders looking to embrace new technologies and enhance their organization's capacity for success.
Episode LInks:
- Empowered Fundraiser - https://empoweredfundraiser.com/
- She Leads AI Website: https://www.sheleadsai.ai
- Anne Murphy on LinkedIn: https://www.linkedin.com/in/anne-murphy-philanthropy/
- Nonprofit411 Website: https://www.nonprofit411.org
Mark as Played
Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
(00:01):
Feeling the pressure of meeting your nonprofit's fundraising goals? You're not alone.
.999Many nonprofits struggle with limited resources, donor fatigue, and a lack of clear strategy. 3 00:00:11,839.999 --> 00:00:16,160 Nonprofit411 offers personalized coaching to address these challenges head on. 4 00:00:16,689.999 --> 00:00:23,645 Together, we'll tackle your biggest obstacle Boost your donor relationships and build momentum toward your mission.
(00:24):
Don't let obstacles slow you down.
Start your coaching journey today at Nonprofit411. 7 00:00:29,994.999 --> 00:00:30,364.999 org. 8 00:00:35,35.510204082 --> 00:00:46,495.510204082 Welcome to the Nonprofit411 podcast, the podcast where we speak with nonprofit professionals and experts to uncover strategies, share insights, and tackle the challenges you face in fundraising and sustainability. 9 00:00:47,35.509204082 --> 00:00:58,505.510204082 I'm Sarah Barton, your fundraising growth partner and the founder of Nonprofit411 My mission is to help you develop tailored strategies and support you as you implement them, ensuring your nonprofit thrives. 10 00:00:59,20.510204082 --> 00:01:05,260.510204082 Let's dive into today's episode and learn from the experiences and expertise of those who have been in your shoes. 11 00:01:06,531.632653061 --> 00:01:08,721.632653061 Hello, and welcome to the Nonprofit411. 12 00:01:09,21.632653061 --> 00:01:11,1.632653061 I'm so excited that you joined us today. 13 00:01:11,11.632653061 --> 00:01:23,61.632653061 And I am psych excited to welcome our guest Anne Murphy from CEO and founder of Nonprofit411 and founder of She Leads AI. 14 00:01:23,61.632653061 --> 00:01:23,711.632653061 Welcome. 15 00:01:24,151.632653061 --> 00:01:24,971.632653061 Thanks, Sarah. 16 00:01:24,981.632653061 --> 00:01:26,331.632653061 It's a delight to be here. 17 00:01:27,66.632653061 --> 00:01:29,696.632653061 I'm so excited to have a conversation with you today. 18 00:01:30,116.632653061 --> 00:01:39,651.632653061 So, but before we get started I always start with my favorite question, which is what is your favorite hobby? My favorite hobby is backcountry backpacking. 19 00:01:39,661.632653061 --> 00:01:45,341.63265306 If everything goes to plan, I would be either solo or with my daughter. 20 00:01:45,361.63265306 --> 00:01:50,501.63265306 She have, I have reared her to be able to carry heavier bags than I can. 21 00:01:51,961.63265306 --> 00:01:54,711.63265306 So she's very handy to have on a backpacking trip. 22 00:01:54,721.63265306 --> 00:01:58,221.63265306 But yeah, that's my, that's my happy place is backcountry backpacking. 23 00:01:58,891.63265306 --> 00:01:59,681.63265306 Oh, how fun. 24 00:01:59,911.63265306 --> 00:02:00,871.63265306 That's exciting. 25 00:02:00,961.63265306 --> 00:02:01,271.63265306 Yes. 26 00:02:01,721.63265306 --> 00:02:01,891.63265306 Yeah. 27 00:02:02,71.63265306 --> 00:02:02,781.63265306 Well, awesome. 28 00:02:02,821.63265306 --> 00:02:04,221.63265306 I, I've never done that. 29 00:02:04,251.63265306 --> 00:02:08,211.63265306 So, it'll be something, yeah, maybe it's something I should think about. 30 00:02:08,581.63265306 --> 00:02:09,691.63265306 I think you should. 31 00:02:09,691.73265306 --> 00:02:10,771.63265306 I think you should. 32 00:02:11,151.63265306 --> 00:02:11,571.63265306 Yeah. 33 00:02:11,631.63265306 --> 00:02:16,801.63065306 I'll have to recruit my son who is, he can carry more than me for sure. 34 00:02:16,811.63065306 --> 00:02:23,791.63165306 So yeah, you gotta have, you, you need the next generation to, to heavy, to carry all the heavy things. 35 00:02:24,866.63165306 --> 00:02:25,906.63165306 They carry the water. 36 00:02:25,906.63165306 --> 00:02:27,776.63165306 You carry the empty bottles, right? Yep. 37 00:02:28,116.63165306 --> 00:02:30,396.63165306 That's literally exactly what happens with my daughter. 38 00:02:30,396.63165306 --> 00:02:31,276.63165306 She carries the water. 39 00:02:31,276.63165306 --> 00:02:42,366.63165306 I carry the bottles That's so funny So, can you tell our listeners a little bit about yourself and about the organizations that you work with? Sure. 40 00:02:42,416.63165306 --> 00:02:46,86.63065306 Hi everybody Thank you so much again, Sarah for having me. 41 00:02:46,96.63065306 --> 00:02:46,806.63065306 I'm excited. 42 00:02:46,826.63165306 --> 00:02:47,986.63165306 I love your podcast. 43 00:02:48,616.63165306 --> 00:03:05,326.63165306 I Like lots of people, you know, I found my way into fundraising kind of weirdly, you know, I was an intern, I needed money there was literally a sign on the door that said we have an, like, de development I didn't know what development was. 44 00:03:05,336.63165306 --> 00:03:07,946.63165306 I thought it was like natural resources, had no idea. 45 00:03:08,436.63165306 --> 00:03:14,266.63165306 So I got my start in fundraising there in higher education and have a fabulous career. 46 00:03:14,286.63165306 --> 00:03:28,796.63065306 Like did all the things, you know, ran campaigns and got to work with all sorts of amazing faculty and start scholarships and do buildings and run large teams and just very, very stimulating, interesting career. 47 00:03:30,481.63165306 --> 00:03:49,821.63165306 But I got to a point like lots of us did around COVID where I started to wonder what do I really, really want to do when I grow up and I started to feel like I could do more if I were out on my own because I wanted to work with a variety of different causes, right? Like I believe in higher ed. 48 00:03:49,891.63165306 --> 00:03:50,761.63165306 Absolutely. 49 00:03:50,761.63165306 --> 00:03:51,611.63165306 Particularly. 50 00:03:51,911.63165306 --> 00:03:53,761.63165306 I've always worked in STEM fields. 51 00:03:54,141.63165306 --> 00:03:59,401.63165306 I, there's no question that that is critically important and that I'm making an impact in the world. 52 00:04:00,61.63165306 --> 00:04:09,101.63065306 But I felt like there were other pockets where the, the fact that I always think of myself as kind of born on third base. 53 00:04:09,241.63165306 --> 00:04:12,171.63065306 I have all these unearned privileges. 54 00:04:12,211.63165306 --> 00:04:14,21.63065306 I've had people pour into me. 55 00:04:14,21.63065306 --> 00:04:15,521.63115306 I've been able to go to conferences. 56 00:04:15,521.63115306 --> 00:04:16,391.63165306 I've had mentors. 57 00:04:16,421.63065306 --> 00:04:17,341.63165306 I've had great jobs. 58 00:04:17,341.63165306 --> 00:04:22,481.63165306 I've had a career where I've been paid 30 years. 59 00:04:23,461.63165306 --> 00:04:24,921.63165306 Now I can give back. 60 00:04:24,921.63165306 --> 00:04:29,961.63165306 So I knew that if I launched my own consultancy, I could work in spaces where. 61 00:04:30,706.63165306 --> 00:04:34,766.63165306 Some of the larger firms might not, it might not make sense for them to be there. 62 00:04:34,776.63165306 --> 00:04:36,86.63165306 Just budget wise. 63 00:04:36,486.63165306 --> 00:04:37,836.63165306 I could work in those spaces. 64 00:04:38,36.63165306 --> 00:04:42,646.63265306 I could deliver incredibly helpful you know, coaching and consulting. 65 00:04:42,926.63265306 --> 00:04:48,156.63265306 And I would also be able to do it for a breadth of different causes, which was appealing to me as well. 66 00:04:48,396.63265306 --> 00:04:50,366.63265306 So my first two clients were art centers. 67 00:04:50,406.63265306 --> 00:04:51,186.63265306 It's wonderful. 68 00:04:51,436.63265306 --> 00:04:59,516.53265306 And went from spending every waking moment with engineers to having And you know, being able to do some really neat work with a couple of art centers. 69 00:05:01,136.53265306 --> 00:05:05,266.53265306 So that's kind of, that kind of brings us up to about right now. 70 00:05:05,346.53265306 --> 00:05:15,946.53165306 The next phase that I would share of the evolution is that I really caught the AI bug when it first came out. 71 00:05:15,986.53265306 --> 00:05:22,626.53265306 Well, when generative AI hit the scene with gusto and that was late 22, late 2022. 72 00:05:25,186.53265306 --> 00:05:31,136.53265306 Like fundraising, everyone, sometimes you have like an interesting path that first spark with AI. 73 00:05:31,186.53265306 --> 00:05:38,596.53265306 And for me, it was that I was at the outset of a very difficult 18 month long bout with long COVID. 74 00:05:39,336.53265306 --> 00:05:41,906.53165306 And it was at the same time as I was. 75 00:05:41,966.53265306 --> 00:05:48,156.53265306 No longer an employee because I had great idea that I was going to be an entrepreneur, had no idea how to be an entrepreneur. 76 00:05:48,466.53265306 --> 00:05:50,16.53265306 So I'm trying to launch a business. 77 00:05:50,56.53265306 --> 00:05:54,926.53265306 I was sleeping all the time, had no energy, like my brain was scrambled eggs. 78 00:05:55,316.53165306 --> 00:05:59,426.53265306 And then chat GPT hit the scene and it gave me my. 79 00:05:59,701.53265306 --> 00:06:11,841.53265306 My thinking ability back, it allowed me to put, to string two ideas together and to get them like out of my brain in a sentence format, which I wasn't able to do. 80 00:06:11,871.53165306 --> 00:06:16,731.53265306 So that kind of leads me to, to where we are today with the AI piece. 81 00:06:18,501.53165306 --> 00:06:20,601.53265306 Well, what an interesting journey. 82 00:06:20,971.53265306 --> 00:06:29,981.53265306 I have also worked in higher ed, so, you know, we have that in common and something you said really resonated with me and it's kind of part of my journey. 83 00:06:30,21.53265306 --> 00:06:30,641.53265306 Also. 84 00:06:31,461.53265306 --> 00:06:42,521.53265306 It's that as a fundraiser, we, we do learn skills that every nonprofit needs, but not every nonprofit is privileged to have. 85 00:06:43,191.53165306 --> 00:06:53,601.53265306 And I also started my business Nonprofit411 because I want to help all nonprofits be sustainable. 86 00:06:53,971.53265306 --> 00:06:59,231.53265306 And it is always amazing to me that sometimes. 87 00:07:00,791.53265306 --> 00:07:12,151.53265306 What I might consider the simplest of changes, but they're unknown changes until they're introduced can make such a huge impact on a nonprofit. 88 00:07:12,991.53265306 --> 00:07:14,121.53265306 Absolutely. 89 00:07:14,161.53165306 --> 00:07:23,151.53265306 And it's, I mean, to all the fundraisers out there listening, know that your skillset is vast. 90 00:07:23,466.53265306 --> 00:07:28,586.53265306 You are capable of so much more than, you know, it's remarkable to me. 91 00:07:28,586.53265306 --> 00:07:34,836.53265306 I immediately signed up for a million different coaching programs upon becoming an entrepreneur. 92 00:07:35,456.53265306 --> 00:07:51,436.53265306 And I was amazed by how my skillsets stood up to other people in the courses and the programs, because there were things that we do, there are things that we do as fundraisers that other people consider. 93 00:07:51,611.53265306 --> 00:07:56,811.53265306 Very difficult to achieve skill sets and we just do them as a matter of course. 94 00:07:58,51.53265306 --> 00:07:59,671.53265306 Outreach cold outreach. 95 00:07:59,711.53265306 --> 00:08:06,271.53265306 Did you guys know that most people do not know how to reach out to leads? They don't know how to do it. 96 00:08:06,301.53265306 --> 00:08:07,711.53265306 All of my coaching programs. 97 00:08:07,711.53265306 --> 00:08:10,841.53165306 The majority of the time was how to reach out to leads. 98 00:08:10,841.53165306 --> 00:08:17,301.43265306 And I was sitting there going like, how do you guys do your work without picking up the phone? Yeah. 99 00:08:17,481.53265306 --> 00:08:20,381.53265306 Well, it's funny because I have. 100 00:08:20,411.53265306 --> 00:08:21,331.53265306 So when I worked. 101 00:08:21,686.53265306 --> 00:08:33,486.53265306 at the university, I did not do major gifts and I didn't do planned giving, which those two tend to have a lot more telephone component and more meeting component. 102 00:08:33,876.53265306 --> 00:08:36,726.53265306 And so those are skills that I have to practice. 103 00:08:36,766.53365306 --> 00:08:44,366.53365306 Now I definitely have more experience doing it because when I was in development, I actually became director of advancement under advancement. 104 00:08:44,366.53365306 --> 00:08:46,786.53365306 I had both admissions and development. 105 00:08:47,36.53365306 --> 00:09:02,856.53165306 And so, yeah, so it was a very large team and admissions is entirely interacting with individuals, right? And you have to be talking to them, texting them, emailing them, whatever it is, however they prefer to communicate. 106 00:09:02,856.53165306 --> 00:09:03,916.53165306 You do that all the time. 107 00:09:04,416.53165306 --> 00:09:04,436.53165306 Yeah. 108 00:09:05,201.53265306 --> 00:09:05,571.53265306 Yeah. 109 00:09:06,31.53265306 --> 00:09:12,681.53265306 And in development I personally was in charge of all of our direct mails, our alumni. 110 00:09:13,11.53265306 --> 00:09:22,731.53165306 And so a lot of the, in the email campaigns more direct mail campaigns, email was less of a thing at that time, you know? But it is true. 111 00:09:22,731.53165306 --> 00:09:27,231.53165306 You really do learn like how do, how do I talk to these people? And. 112 00:09:27,556.53165306 --> 00:09:35,946.53165306 You don't have to be afraid of them because they really do become friends in some ways, you know, companions supporters. 113 00:09:35,986.53165306 --> 00:09:38,606.53065306 They're your, you find out they're your cheerleaders. 114 00:09:40,256.53165306 --> 00:09:42,746.53165306 They're excited for everything that you're doing too. 115 00:09:42,876.53165306 --> 00:09:45,836.53165306 So, yeah, so that's, thank you for that. 116 00:09:46,326.53165306 --> 00:09:53,116.53165306 That affirmation for all of our fundraisers out there, because it is a very unique path. 117 00:09:53,346.53065306 --> 00:10:04,771.53165306 And, and for the nonprofit leaders who are listening that are not fundraisers, let it be an encouragement that There are people who can help you with these skills. 118 00:10:04,811.53165306 --> 00:10:08,751.53165306 They're actually just things that you learn and practice, right? Yes. 119 00:10:08,761.53165306 --> 00:10:09,201.53165306 Yeah. 120 00:10:09,201.53165306 --> 00:10:10,451.53165306 They're, they are. 121 00:10:10,471.53165306 --> 00:10:18,91.53165306 And, and we're out here and it can be the case that even just, you know, sitting down with. 122 00:10:18,506.53165306 --> 00:10:48,46.53165306 Somebody who's out here doing like what you do or I do for half an hour, an hour to figure out what are some of your gaps and what kind of support do you really need before going out? And this is just like a little bit of a sidebar, but for folks to think about before going out and putting an RFP out into the world or posting a job for a development officer, your, your money would go as well spent doing. 123 00:10:49,661.53165306 --> 00:11:12,371.53265306 doing like one or two sessions with a consultant before you do that so that they can help set you up for success, whether it's what you're actually looking for with your RFP or do you actually have a good setup to bring your first you know, major gift officer or direct mail professional or whatever on board because you may not be set up for success. 124 00:11:12,381.53265306 --> 00:11:12,771.53265306 So. 125 00:11:13,431.53265306 --> 00:11:13,931.53265306 If anyone's listening. 126 00:11:13,931.63265306 --> 00:11:17,741.53265306 Yes, I think that's so true. 127 00:11:17,961.53265306 --> 00:11:34,861.53265306 You know, a lot of times where the organizations that I work with start is actually creating those systems, right? Putting in systems so that we can Segment our populations or that we can collect our populations information in a way that's meaningful. 128 00:11:35,71.53265306 --> 00:11:50,561.53165306 I was just working with a client today and over the last couple of months, we got them onto a donor platform and it's been so fun to watch everyone on their staff as they come and I work with them to learn about the donor platform. 129 00:11:50,841.53165306 --> 00:11:53,341.53165306 Like, Oh my gosh, this is so amazing. 130 00:11:53,351.53165306 --> 00:12:01,356.53265306 This is going to help us so much, you know, But now they really are positioned to be able to really extend their reach. 131 00:12:01,426.53265306 --> 00:12:03,486.53265306 And before they felt constrained. 132 00:12:03,486.53265306 --> 00:12:05,256.53265306 And so it's so much fun. 133 00:12:05,536.53265306 --> 00:12:14,861.43365306 That's what I love about the work that I do to see organizations blossom and find out like, Oh wait, it doesn't have to be as heavy as we were carrying, like. 134 00:12:15,91.53365306 --> 00:12:23,481.53365306 Our pack doesn't have to be that heavy, you know, right? There's ways to like, lighten this pack that make it so much easier. 135 00:12:25,31.53365306 --> 00:12:33,476.53365306 So, on that note, can I share with you a little bit about the AI stuff and share with your listeners? Absolutely. 136 00:12:33,476.53365306 --> 00:12:38,596.53365306 Because I think AI is such a phenomenal tool. 137 00:12:38,616.53365306 --> 00:12:41,676.53365306 It's a phenomenal tool that has come into the world. 138 00:12:42,146.53365306 --> 00:12:47,146.53265306 And I, I just had a conversation with someone the other day and they said, Oh yeah, but that was before we had AI, Sarah. 139 00:12:47,146.53265306 --> 00:12:52,766.53365306 And I was like, Yeah, because I really has changed a lot of things. 140 00:12:52,766.53365306 --> 00:13:05,496.53265306 So yeah, help us to know about kind of how, how your AI journey has evolved and where it's taken you kind of, extending the backpacking metaphor with AI. 141 00:13:05,546.53265306 --> 00:13:18,606.53365306 I was Think about it like, yes, the use of AI is going to lighten your backpack, but there's another thing that it's going to do that's really kind of under the radar. 142 00:13:18,606.53365306 --> 00:13:22,526.53265306 It's something that people don't talk about a lot, but it's really important for nonprofits. 143 00:13:23,266.53365306 --> 00:13:44,566.53265306 Staff and advocates to think about, which is there are times when we can use AI for a project that historically may drain us or, or bring conflict, unnecessary conflict, or where it just takes us too long. 144 00:13:45,766.53365306 --> 00:13:56,836.53265306 We know that we quote unquote should be able to do it faster or if we didn't have desk brain, it would be done faster or something that's emotionally laden. 145 00:13:57,286.53365306 --> 00:14:05,716.53365306 So I'll give you an example of the emotionally emotionally laden and then I'll go back and tell you how I arrived here. 146 00:14:05,716.53365306 --> 00:14:11,166.53365306 But one of the things that's always been challenging for me is writing condolence letters. 147 00:14:11,731.53365306 --> 00:14:28,986.43365306 And for me, I could not give myself permission to write a condolence letter that was like based on the last one I wrote, you know, maybe there was a little bit of something, but more, more often than not, I was writing something that was unique to me. 148 00:14:29,196.53365306 --> 00:14:35,606.53365306 To that person, I put my I would put myself in a space of, you know, having a conversation with them. 149 00:14:35,606.53365306 --> 00:14:39,466.53365306 Typically, we're talking to a widow, right? Having a conversation with them. 150 00:14:39,466.53365306 --> 00:14:43,516.53315306 I'd be reflecting on their loved one to be reflecting on their family values. 151 00:14:43,516.53315306 --> 00:14:48,486.53365306 You know, I'm trying to put it in exactly the right words because someone's grieving. 152 00:14:48,486.53365306 --> 00:14:51,876.43365306 You don't want to send something that has, you know, a word that it. 153 00:14:52,316.53365306 --> 00:14:54,426.53365306 You know, doesn't feel right. 154 00:14:55,316.53365306 --> 00:15:01,476.53365306 Well, now 90 minutes has gone by and I may or may not actually have the condolence letter written. 155 00:15:01,756.53365306 --> 00:15:09,186.53265306 And I am emotionally drained, right? I've now worked on something that in reality could have taken me 20 minutes. 156 00:15:09,406.53365306 --> 00:15:13,746.53365306 I've worked on it for an hour and a half and I've used some of my best energy of the day. 157 00:15:14,26.53365306 --> 00:15:26,616.53265306 So when I started developing tools with AI, the first, the second thing I made was a thank you letter generator that also works for condolence. 158 00:15:27,56.53365306 --> 00:15:54,551.53365306 Notes so that and it's beautiful like it's trained on my voice It brings in Maya Angelou quotes if you want like it's lovely and it Very rarely fails and even if it does it just means I need to change a couple of words and in that example now I'm still I'm inputting the special things about the loved one I'm not, it's not as though I'm not reflecting or fully participating in this process. 159 00:15:54,571.53365306 --> 00:16:00,831.53365306 It's just that I'm not also wordsmithing it within an, you know, within an inch of its life. 160 00:16:00,871.53365306 --> 00:16:10,451.53365306 I'm, you, I'm putting my effort into what was special about that individual, not into, you know, every, where every single comma is and stuff. 161 00:16:10,461.53365306 --> 00:16:14,251.53365306 So, yes, example, right. 162 00:16:14,741.53365306 --> 00:16:15,51.53365306 Yeah. 163 00:16:15,81.53365306 --> 00:16:15,731.53365306 I love that. 164 00:16:15,761.53365306 --> 00:16:16,891.53365306 I love that example. 165 00:16:17,151.53265306 --> 00:16:38,671.53365306 I think that You know, that is often where organizations or not professionals, not the organizations, but where professionals get stuck, right? When we are only kind of sure when we're on what we need to do, but not really sure on what we need to do it. 166 00:16:38,921.53365306 --> 00:16:44,221.5336531 And it's where the burnout stems, right? The burnout stem from those moments. 167 00:16:45,256.5336531 --> 00:16:57,606.5336531 Yeah, it's where the burnout sits and then like, say I worked on that condolence note for 90 minutes and then I sent it on to the person whose signature it was supposed to go out under and they said, I don't like it. 168 00:16:57,926.5336531 --> 00:17:03,566.5336531 Well, if you've only spent like 10 minutes on it, your feelings aren't that hurt, not compared to when you spent 90 minutes on it. 169 00:17:04,656.5336531 --> 00:17:16,76.5336531 So, the way that I got here to Really being an AI optimist, and I do want to point out, it's not that my enthusiasm for AI is abject. 170 00:17:16,396.5336531 --> 00:17:18,846.5336531 I lose just as much sleep as the next person. 171 00:17:18,876.5326531 --> 00:17:31,96.5336531 I, you know, worry about the parade of horribles, worry about the robots taking over, worry about, worry about our, our economy, people's employment, worry about all the things. 172 00:17:31,96.5336531 --> 00:17:39,946.5336531 But I also am heartened by the opportunity for AI to level the Proverbial playing field. 173 00:17:39,986.5336531 --> 00:17:51,516.5326531 I see AI as an opportunity to put power and proximity to power into the hands of people who historically have not been in those roles or in those spaces. 174 00:17:52,356.5336531 --> 00:18:30,211.5336531 And what's particularly awesome about it is that one thing that's true is people in leadership, C suite and up, are, are uniquely unqualified to make decisions about how AI is implemented in their organizations because the people who are using it are the front lines people, they're the interns, they're the admins, they're the major gift officers, the direct mail writers, like, you know, the people doing the work are the ones who are Farther along in their AI journey, typically leadership folks need to be informed what's happening. 175 00:18:30,591.5336531 --> 00:18:51,141.5336531 So now, those of us who've been out there on the front lines, we have this additional layer of authority and responsibility and clout, because we're here to tell the bosses, you know, If you do that, the outcome is going to be this, right? If you do that other thing, the outcome is going to be this. 176 00:18:51,151.5336531 --> 00:18:55,511.5336531 So now we can start making the policies that we're affected by. 177 00:18:55,831.5326531 --> 00:19:11,481.5336531 We have to, in fact, so that's where I'm like super, super bullish on AI is that I think it can turn the power imbalance back to where it should be a little bit, right? Yeah. 178 00:19:12,61.5336531 --> 00:19:12,291.5336531 Yeah. 179 00:19:13,631.5336531 --> 00:19:15,1.5336531 I think that's great. 180 00:19:15,816.5336531 --> 00:19:17,466.5336531 Something that you just said right there. 181 00:19:17,536.5336531 --> 00:19:22,816.5336531 I was actually conducting an HR training a couple of weeks ago. 182 00:19:23,26.5336531 --> 00:19:29,406.5326531 I, I have been a director of HR and have my certification in HR. 183 00:19:29,921.5326531 --> 00:19:37,181.5326531 Have a certification in HR and, oh, can you hear me now? Yep. 184 00:19:39,971.5326531 --> 00:19:44,741.5326531 I moved my mic, everyone, so if you can't hear me for a second, I don't know what I was thinking. 185 00:19:44,741.5326531 --> 00:19:46,991.5326531 I was standing up and I forgot to move my mic. 186 00:19:47,471.5326531 --> 00:19:57,701.5326531 I was saying I conducted an HR seminar a couple weeks ago and I said something about policy and what I said about AI policy is that. 187 00:19:58,766.5326531 --> 00:20:09,996.5326531 You need to be ahead of that because people are using it whether or not you think they are and if you put restrictions and say it can't be used in our organization, they're using it some other way in your organization. 188 00:20:10,256.5326531 --> 00:20:43,926.5316531 Like that's the reality, right? They're either using it on their phone or they're working around your workaround, whatever it is, people are going to be using AI and so you need to really quickly Like yesterday, I started the conversation about AI and how do we as an organization use AI and when do we use AI and when do we use some old fashioned techniques, which the old fashioned techniques brings me back to this year. 189 00:20:43,936.5316531 --> 00:20:46,16.5316531 I've been really focused on making phone calls. 190 00:20:46,566.5326531 --> 00:20:52,256.5326531 You know, going back to an old fashioned technique, which is a very effective tool. 191 00:20:52,976.5326531 --> 00:20:54,956.5326531 A phone call is a very effective tool. 192 00:20:55,316.5326531 --> 00:21:10,516.5336531 So if we utilize AI and we replace very effective tools with AI perhaps unintentionally, but we may have, or experience some significant. 193 00:21:12,101.5336531 --> 00:21:16,71.5336531 Impact, right? Mm-hmm Mm-hmm Yes. 194 00:21:16,71.5336531 --> 00:21:16,791.5336531 And so, yeah. 195 00:21:17,271.5336531 --> 00:21:17,451.5336531 Yeah. 196 00:21:17,451.5336531 --> 00:21:19,581.5336531 So I think it's really important to have these conversations. 197 00:21:19,641.5336531 --> 00:21:23,901.5336531 There are some tools in our tool bag that we have to keep Yep. 198 00:21:24,21.5336531 --> 00:21:28,821.5336531 And there are some tools that we may be able to adapt with ai. 199 00:21:28,851.5336531 --> 00:21:29,421.5336531 Yes. 200 00:21:29,941.5336531 --> 00:21:30,271.5336531 Yeah. 201 00:21:30,271.5336531 --> 00:21:37,951.5336531 I think everything now should be seen on a continuum of 100% human to 100% ai. 202 00:21:38,341.5336531 --> 00:21:42,541.5336531 And many, many, many of the things that we do are gonna be. 203 00:21:43,21.5336531 --> 00:21:50,481.5336531 a mixture, and it's really fine tuning what is the best fit for each task. 204 00:21:50,811.5336531 --> 00:21:56,746.5336531 You know, an example would be, it'd be very easy to say, Absolutely. 205 00:21:56,996.5336531 --> 00:22:03,466.5336531 An in person visit with a donor is something that is a, like, for example, like you said, a phone call is a tool. 206 00:22:03,836.5336531 --> 00:22:08,166.5336531 That is one of the tools in our toolkit is meeting in person with a donor. 207 00:22:08,726.5326531 --> 00:22:15,426.5346531 And we know how magical it can be and how effective it is on the know, like, and trust continuum. 208 00:22:15,426.5346531 --> 00:22:18,186.5346531 And people give to people and all of those kind of things. 209 00:22:18,186.5346531 --> 00:22:20,806.5346531 And there's an element of, you know, showing respect. 210 00:22:21,396.5346531 --> 00:22:25,926.5346531 And, you know, meeting the people where they are proverbially and literally. 211 00:22:26,426.5346531 --> 00:22:34,996.5346531 That said, we learned in COVID, it's not absolutely necessary in all cases for us to be in person with our donors. 212 00:22:35,326.5346531 --> 00:22:41,526.4346531 In fact, now we're learning some donors would prefer to have a Zoom call with us. 213 00:22:42,486.5346531 --> 00:22:44,106.5346531 The next phase of this. 214 00:22:44,106.5346531 --> 00:22:52,666.5346531 So you're, so you're starting to think, okay, we went from, it's got to be in person, period, to maybe it doesn't have to be in person. 215 00:22:52,716.5336531 --> 00:23:06,96.5346531 Maybe it's more effective because we can get both members of the couple on zoom, where we're not going to get two members of the couple, you know, in one meeting, one physical location, there could be some benefits. 216 00:23:06,706.5346531 --> 00:23:09,846.5346531 And then we fast forward to, if we think about. 217 00:23:10,41.5346531 --> 00:23:23,261.5346531 What are some of the challenges that we have with in person meeting with donors? Well, we have the fact that, is it like 86 percent or 68? I get my numbers mixed up. 218 00:23:23,361.5346531 --> 00:23:31,201.5346531 Either 86 or 68 percent of Fundraisers have been sexually harassed by a donor or by a colleague. 219 00:23:31,531.5346531 --> 00:23:34,111.5346531 Okay, so now let's talk about risk management. 220 00:23:34,121.5346531 --> 00:23:40,521.5346531 How can we manage that risk? We could say, we're not sending fundraisers out to meet people anymore. 221 00:23:40,841.5346531 --> 00:23:42,791.5346531 That seems, that seems harsh. 222 00:23:43,771.5346531 --> 00:23:55,151.5346531 But, Maybe in this case, this is when we have donors who are preferring to not leave their house to go talk about philanthropy. 223 00:23:55,621.5346531 --> 00:24:07,101.5346531 We have people who are AI forward and who understand the benefit of working with avatars, which is something that our field is having a hard time adjusting to. 224 00:24:07,431.5346531 --> 00:24:16,326.5346531 Meanwhile, the rest of the world is spending a lot of time interfacing with AI avatars. 225 00:24:16,586.5346531 --> 00:24:35,146.5346531 So now it's like, hmm, maybe we should be moving into, and in our organization, using AI avatars because A, our donors prefer it, and B, it's safer from a risk management perspective than sending somebody out to somebody's living room. 226 00:24:37,406.5346531 --> 00:24:38,126.5346531 To continue on. 227 00:24:38,976.5346531 --> 00:24:40,466.5346531 It is, it's a continuum. 228 00:24:40,756.5346531 --> 00:24:50,446.5346531 Yeah, and maybe, maybe our, you know, maybe our continuum is that, like, we never send someone out alone, right? So, like, that limits their time. 229 00:24:50,456.5346531 --> 00:24:55,551.5346531 But we also do all these other two things too, right? Yeah, exactly. 230 00:24:55,641.5346531 --> 00:24:56,251.5346531 Exactly. 231 00:24:56,321.5346531 --> 00:24:59,151.5346531 So it gives us the chance to break what's already broken. 232 00:24:59,421.5346531 --> 00:25:10,91.5346531 Should we have been sending development officers out to people's homes in the middle of nowhere all by themselves? Should we have been doing that for since the beginning? Maybe, maybe not. 233 00:25:10,131.5336531 --> 00:25:24,721.5346531 You know, I would argue that kind I mean, I did it, of course, and I supervise people who did it, but right now, at my big age of 51, I would not say that it's a good idea to do that. 234 00:25:25,791.5346531 --> 00:25:27,651.5336531 I wouldn't send my kids out to someone. 235 00:25:28,371.5346531 --> 00:25:31,341.5346531 Yeah, in education, right, we tag team. 236 00:25:31,351.5336531 --> 00:25:33,521.5346531 You should always have two people with you. 237 00:25:34,1.5346531 --> 00:25:37,551.5346531 Kids, right? You should always I was I was a two year old teacher. 238 00:25:37,551.5346531 --> 00:26:07,16.5346531 So we always had you always had to have two people present Yeah, so it's a safety it's a safety mechanism to make sure that the children are safe and to make sure that the adults are safe, right so So, yeah, I think those I think that's such great thought right and In the nonprofit sector, sometimes the response to AI has been to really not talk about it. 239 00:26:07,166.5346531 --> 00:26:08,806.5346531 So we're still using it. 240 00:26:08,836.5346531 --> 00:26:11,356.5346531 We're still playing with it. 241 00:26:11,386.5346531 --> 00:26:14,146.5326531 We may be using it on the slide. 242 00:26:14,146.5336531 --> 00:26:15,326.5326531 We may be using it openly. 243 00:26:16,386.5336531 --> 00:26:17,426.5336531 It really is like that. 244 00:26:17,426.5346531 --> 00:26:21,416.5346531 Like sometimes you're like, I can talk about me using AI with that person. 245 00:26:21,416.5346531 --> 00:26:22,696.5346531 And I can with this person. 246 00:26:23,246.5346531 --> 00:26:47,736.5346531 But because we're choosing to react in that way, We're actually hurting the sector as a whole because we need to be having these deeper conversations about ethical use of AI and about how we utilize it as a tool to enhance our, our mission and our vision and our work. 247 00:26:49,226.5346531 --> 00:26:50,376.5346531 Right, I hear, I hear that. 248 00:26:50,846.5346531 --> 00:26:53,836.5346531 That's what you're, that's, you know, that's some of what you're saying. 249 00:26:53,896.5346531 --> 00:26:55,866.5346531 Yeah, that's what I'm saying. 250 00:26:55,886.5346531 --> 00:27:08,116.5346531 And also something to consider is that we do so much interfacing with people who are in the for profit sector who are currently going through the painful process of integrating AI into. 251 00:27:08,261.5346531 --> 00:27:11,381.5346531 their culture and their systems. 252 00:27:12,191.5346531 --> 00:27:20,621.5346531 Those folks who some of whom are our best donors or our board chairs, those folks are having the lived experience right now. 253 00:27:20,621.5346531 --> 00:27:21,841.5346531 That's not comfortable. 254 00:27:22,281.5346531 --> 00:27:32,301.5346531 And they will know beyond a shadow of a doubt how important it is to integrate AI and that you can't have a well functioning organization with. 255 00:27:32,361.6346531 --> 00:27:36,901.5346531 And they will be expecting the nonprofits they support. 256 00:27:37,351.5346531 --> 00:28:05,946.5336531 It'd be like saying, no, we're not going to use email, but an even bigger deal, right? If you were a donor and you found out that somebody didn't use Spreadsheets, or email, or whatever, or a shared drive, or, you know, that you wouldn't, you wouldn't, you might not keep them in your category of non profits you support, because you could support another organization that does something similar, that also has rock solid business operations. 257 00:28:06,576.5336531 --> 00:28:59,971.4346531 So there's going to be some extreme pressure, and I would like to see, Those of us who are kind of on the sidelines or where there's not a lot of psychological safety to talk about AI in your organization, I would like to see us bust through those issues so that we can be ahead of the game at least alongside our constituents who are going through this so that we don't ever have the awkward moment where we you know, we haven't done anything with AI and our policies and a donor or a board member saying to us, or an accreditation body, right, is saying, you know, what, where's your AI policies? And you're like, what AI policies? You know, as you say that what came to mind, the word that came to mind is you are not an early adopter. 258 00:28:59,971.5346531 --> 00:29:09,751.5346531 This is not an early adoption opportunity because AI has sped up the timeline of adoption so much on all fronts. 259 00:29:09,761.5356531 --> 00:29:10,191.5356531 Right. 260 00:29:10,681.5356531 --> 00:29:14,221.5356531 And, and the nonprofit sector has typically been a late adopter. 261 00:29:14,751.5356531 --> 00:29:17,541.5356531 And I try to be super respectful of. 262 00:29:18,181.5356531 --> 00:29:21,441.5356531 That recognition that, you know, some of us are early adopters. 263 00:29:21,451.5356531 --> 00:29:24,681.5356531 Some of us are mainstream adopters and some of us relate adopters. 264 00:29:25,1.5356531 --> 00:29:29,821.5356531 And we each have reason for that in our positions, whichever that position is. 265 00:29:30,421.5356531 --> 00:29:37,961.5356531 And I acknowledging that fully, that that is, you know, the way that we address things. 266 00:29:39,26.5356531 --> 00:29:46,586.5356531 The truth is that adopting policies related to AI now is no longer early adoption. 267 00:29:46,926.5356531 --> 00:29:53,436.5346531 It's no longer mainstream, and I would say mainstream is really in that full phase right now, right? Yeah. 268 00:29:53,486.5356531 --> 00:29:57,646.5356531 And so late adoption becomes like in a few months, right? Yeah. 269 00:29:57,656.5356531 --> 00:30:01,246.5356531 Because the timeline has been sped up so quickly. 270 00:30:02,466.5356531 --> 00:30:03,86.5356531 Yes. 271 00:30:03,226.5356531 --> 00:30:13,926.5356531 So if, so like for me, the, the, Stepping stones are first, you got to get your first 10 hours under your belt. 272 00:30:13,966.5356531 --> 00:30:23,176.5356531 Just use free ChatGPT, dink around on it, play, you know, don't worry about, don't worry about anything. 273 00:30:23,176.5356531 --> 00:30:24,216.5356531 Just create. 274 00:30:24,626.5366531 --> 00:30:25,526.5356531 Have fun. 275 00:30:25,576.5346531 --> 00:30:26,926.5356531 Spend 10 hours doing that. 276 00:30:26,946.5356531 --> 00:30:29,86.5356531 Have it evaluate an email that you've written. 277 00:30:29,96.5356531 --> 00:30:30,426.5356531 Have it write an email. 278 00:30:30,996.5356531 --> 00:30:31,906.5356531 Don't even sweat it. 279 00:30:32,26.5356531 --> 00:30:37,776.5356531 Then you go to the next phases, which is, you know, you're starting to learn how to use. 280 00:30:37,981.5356531 --> 00:30:40,641.5356531 the tool more adeptly. 281 00:30:40,651.5356531 --> 00:30:58,371.5356531 So you're learning how to write good prompts, which all that means is phrase things in a way that makes it easier for the large language model to parse all of the data that it has to parse to give you the output, to give you the output that you're actually looking for. 282 00:30:58,761.5356531 --> 00:31:01,711.5356531 So you're still using the tool at that phase. 283 00:31:02,221.5356531 --> 00:31:05,421.5356531 Once you're doing that, maybe let's say you're using AI. 284 00:31:06,346.5356531 --> 00:31:11,886.5356531 a couple of times a day, every day, then you're able to start scaling your skills. 285 00:31:11,896.5356531 --> 00:31:15,146.5346531 So now you're using it with stuff you really don't know how to do. 286 00:31:15,156.5356531 --> 00:31:23,821.5356531 You're like, hey, You know, I do not know anything about how to plan a backyard barbecue, right? Use it for your own life. 287 00:31:24,191.5356531 --> 00:31:32,641.5356531 You know, I don't versus a party at a roller skating par rink, which I would know how to do, right? Start trying to do things with it that you don't know how to do. 288 00:31:32,741.5346531 --> 00:31:36,821.5346531 So now you're not just in your zone of genius where you're trying to level up a little bit. 289 00:31:37,161.5346531 --> 00:31:38,461.5356531 Stuff you don't know how to do. 290 00:31:39,1.5356531 --> 00:31:48,416.5356531 Stuff you thought you were already at the very top of your game and getting that little extra margin where you're like, Wow, now I'm doing the best work of my life. 291 00:31:49,186.5356531 --> 00:31:55,316.5351531 And then the fourth stage is where you are not even using it as a tool anymore. 292 00:31:55,316.5351531 --> 00:31:58,646.5356531 You are in a symbiotic relationship with AI. 293 00:31:59,56.5356531 --> 00:32:01,406.5346531 It is part of every single thing you do. 294 00:32:01,416.5356531 --> 00:32:03,856.5356531 You wouldn't get out of bed in the morning without it. 295 00:32:04,786.5356531 --> 00:32:21,506.5356531 Now that takes some doing right and just takes time and reps, but that's the direction because this is where you need to be the symbiotic places where you need to be in order to stay relevant in order to be able to be ready for what's coming down the pike. 296 00:32:21,866.5356531 --> 00:32:24,156.5356531 We've got to start now with those 10 hours. 297 00:32:25,11.5356531 --> 00:32:37,131.5356531 Just start getting them under your belt so that you're moving in the right direction because you're going to be faced with big decisions that you won't be capable of making if you haven't been using AI. 298 00:32:37,371.5356531 --> 00:32:51,331.5356531 So that's my, that is my plea, is just get that first ten, get those first ten hours under your belt, then start fine tuning a little bit, you know, and then start using it for everything that you do. 299 00:32:52,306.5356531 --> 00:32:56,376.5356531 And then become, it's basically your thought partner, your colleague. 300 00:32:57,396.5356531 --> 00:33:00,636.5356531 I am so grateful that you just shared that. 301 00:33:00,696.5356531 --> 00:33:02,596.5356531 That is definitely the journey that I've been on. 302 00:33:02,596.5356531 --> 00:33:04,316.5346531 And I would say I'm in stage four. 303 00:33:04,776.5356531 --> 00:33:10,916.5356531 But I have never thought about helping outline that journey. 304 00:33:11,66.5356531 --> 00:33:24,536.5356531 Tim Lockie, I, when he was on my podcast a while ago, I can't remember if it was the first time or the second time he said, one of the wonderful things about AI is that the first time you use it, it brings joy. 305 00:33:25,76.5346531 --> 00:33:29,596.5356531 And I loved that because that is, that was and it was. 306 00:33:30,326.5356531 --> 00:33:32,956.5356531 I mean, gosh, it's been probably half a year ago. 307 00:33:32,956.5356531 --> 00:33:40,606.5346531 So it was six, six months ago, probably, you know, and if a, if a person hasn't done that yet you're right. 308 00:33:40,626.5356531 --> 00:33:52,916.5356531 That first 10 hours, you know, and I got to try this out so that you have, so that you can ask questions and so that you can be curious and you can learn about how other people are using it. 309 00:33:53,426.5356531 --> 00:34:03,1.5356531 I, I love to, as you were thinking about that, I thought about, oh yeah, this is, I've learned different things along the way when I've been using AI. 310 00:34:03,21.5356531 --> 00:34:14,411.5356531 One of the things I was telling someone yesterday, I was like, I stink at figuring out transition, transition sentences when I'm doing from one slide to the next slide. 311 00:34:14,431.5356531 --> 00:34:15,41.5351531 Oh my God. 312 00:34:15,41.5351531 --> 00:34:16,521.5356531 Perfect use case. 313 00:34:16,991.5356531 --> 00:34:17,571.5356531 Yeah. 314 00:34:17,791.5346531 --> 00:34:19,91.5356531 I do too, by the way. 315 00:34:19,461.5356531 --> 00:34:22,111.5356531 Yeah, well, it is one of the things. 316 00:34:22,481.5356531 --> 00:34:25,401.5356531 So I will create my slideshow. 317 00:34:25,451.5356531 --> 00:34:32,601.5356531 I create my speaker document and then I'll go in and I'll say, help me transition. 318 00:34:32,701.5356531 --> 00:34:34,541.5346531 Help me do the transitions between slides. 319 00:34:34,571.5356531 --> 00:34:36,671.5346531 And it helps me so much with that. 320 00:34:36,671.5346531 --> 00:34:50,96.5356531 And the other thing is, I want to make sure that it's engaging and so that I'm asking those questions and I've always written in my questions very intentionally on my, like, because I have to have that trigger or I'll just talk. 321 00:34:50,476.5356531 --> 00:34:53,286.5356531 And so, those are the things that it helps me with. 322 00:34:53,831.5356531 --> 00:35:08,351.5346531 You know, and so when we talk about moving our game and, and that's true for fundraising, like, what is it that thing, what is that thing that you're really hesitant about? It's the one thing, you know, you always struggle with. 323 00:35:08,681.5346531 --> 00:35:15,521.5346531 Is it the closing? Is it the the actual ask? Maybe it's that transition to get to the ask. 324 00:35:15,921.5346531 --> 00:35:21,331.5346531 Like those are great points that you can utilize AI for. 325 00:35:21,681.5346531 --> 00:35:29,831.5346531 To be able to say, okay, this is what I usually do when I'm with the donor, but I feel like I need help with, yes. 326 00:35:30,201.5346531 --> 00:35:30,831.5346531 Yeah. 327 00:35:30,981.5336531 --> 00:35:38,591.5336531 And so it brings us a different way to kind of calculate our energy. 328 00:35:38,591.5346531 --> 00:35:45,681.5346531 So I've been able to go from, you know, you think about, is it important or is it urgent? Is it, you know, which. 329 00:35:46,66.5346531 --> 00:35:48,806.5346531 Which combination of important and urgent are things. 330 00:35:49,956.5346531 --> 00:36:01,451.5346531 And we overlay that with, you know, stuff like, are we a morning person? Are we a night person? Are we a middle of the day person? Think about are we analytical? Are we creative? All these things. 331 00:36:01,451.5346531 --> 00:36:20,791.5346531 But what AI has enabled me to do That kind of transcends all of those issues is it allows me to save my best Most immaculate energy for the things that only I can do that discipline that unlock is Miraculous. 332 00:36:20,801.5346531 --> 00:36:33,141.5346531 So now if I, because I could bang my head against the desk forever with transition sentences from slides, if I can say, here's my dope, like this thing is this, this is going to knock everybody's socks off. 333 00:36:33,141.5346531 --> 00:36:35,101.5346531 This is a fantastic presentation. 334 00:36:35,791.5346531 --> 00:36:39,271.5336531 I just need the words for when I'm flipping the page. 335 00:36:39,411.5336531 --> 00:36:46,946.5346531 What are those? Right? Because we, you and I both know they don't need to be like, They're not like crowd stoppers. 336 00:36:46,976.5346531 --> 00:36:48,496.5346531 They're just, it's just patter. 337 00:36:48,536.5346531 --> 00:37:01,126.5336531 It's just, you know, parlaying it into the next idea to not have to do that task to save my energy so that when I'm actually doing a double black diamond task that matters. 338 00:37:01,666.5346531 --> 00:37:07,536.5346531 I have my energy about me versus having it dwindle away doing stuff that I can ask AI to do. 339 00:37:08,476.5346531 --> 00:37:09,26.5346531 Yes. 340 00:37:09,126.5346531 --> 00:37:09,626.5346531 Yes. 341 00:37:09,696.5346531 --> 00:37:10,566.5346531 I love that. 342 00:37:10,616.5346531 --> 00:37:14,186.5346531 So that you can always be on your A game when you need to be. 343 00:37:14,236.5346531 --> 00:37:15,436.5346531 When you need to. 344 00:37:15,476.5336531 --> 00:37:27,436.5346531 And then you start to get a sense of, wow, what is it like when you have that reservoir of energy for the things that you enjoy and that only you can do? It's really special. 345 00:37:27,436.5346531 --> 00:37:30,866.5346531 It's a different way to live your one precious life. 346 00:37:30,921.6346531 --> 00:37:32,131.4346531 Yes. 347 00:37:32,611.5346531 --> 00:37:32,701.5346531 Yes. 348 00:37:32,771.5346531 --> 00:37:33,341.5346531 I love that. 349 00:37:33,421.5346531 --> 00:37:33,701.5346531 Okay. 350 00:37:33,701.5346531 --> 00:37:34,851.5346531 We've got to transition. 351 00:37:35,121.5346531 --> 00:37:37,481.5346531 I'm pretty sure that we're going to be over time on this. 352 00:37:37,481.5346531 --> 00:37:38,11.5346531 Sorry. 353 00:37:38,771.5346531 --> 00:37:41,791.5346531 No, it's been a phenomenal conversation. 354 00:37:41,821.5346531 --> 00:37:43,681.5346531 I am so grateful. 355 00:37:44,271.5346531 --> 00:37:45,951.5346531 Tell our listeners where they can find you. 356 00:37:46,601.5336531 --> 00:37:47,91.5336531 Okay. 357 00:37:47,411.5346531 --> 00:38:03,221.5346531 So everybody, we launched an organization called She Leads AI and What our mission is, is to unite accomplished women to advance AI for global prosperity in that organization, which is She Leads AI dot AI. 358 00:38:03,241.5336531 --> 00:38:05,1.5346531 We have an academy. 359 00:38:05,1.5346531 --> 00:38:07,1.5346531 So we do AI education. 360 00:38:07,11.5346531 --> 00:38:11,301.5336531 Specifically, we help women learn how to lead in AI. 361 00:38:11,881.5346531 --> 00:38:13,951.5346531 This could be to repot yourself. 362 00:38:14,171.5346531 --> 00:38:14,711.5346531 Start an A. 363 00:38:14,711.5346531 --> 00:38:14,821.5346531 I. 364 00:38:14,821.5346531 --> 00:38:15,571.5346531 Consultancy. 365 00:38:15,601.5346531 --> 00:38:17,171.5346531 It could be so that you become the A. 366 00:38:17,171.5346531 --> 00:38:17,321.5346531 I. 367 00:38:17,331.5346531 --> 00:38:19,651.5346531 Go to person in your organization. 368 00:38:19,971.5346531 --> 00:38:23,411.5346531 Lots of use cases for leading an A. 369 00:38:23,451.5336531 --> 00:38:23,791.5336531 I. 370 00:38:24,151.5346531 --> 00:38:35,611.5346531 We also have a consulting agency, so we encourage people in the nonprofit sector or small and medium sized businesses who serve the nonprofit sector to reach out to us. 371 00:38:35,721.5346531 --> 00:38:37,51.5346531 We can help you with your A. 372 00:38:37,51.5346531 --> 00:38:37,171.5346531 I. 373 00:38:37,231.5346531 --> 00:38:38,131.5346531 Training your A. 374 00:38:38,131.5346531 --> 00:38:38,461.5346531 I. 375 00:38:38,756.5346531 --> 00:38:39,826.5346531 Governance your A. 376 00:38:39,826.5346531 --> 00:38:40,16.5346531 I. 377 00:38:40,46.5346531 --> 00:38:49,626.5346531 Implementation and we also have a community where women who are learning a I even women who are like, you know, have been in the game for 10 years. 378 00:38:49,626.5346531 --> 00:38:50,16.5346531 We are. 379 00:38:50,16.5346531 --> 00:38:51,16.5346531 It doesn't matter. 380 00:38:51,376.5346531 --> 00:38:52,766.5346531 We all hang out together. 381 00:38:52,796.5346531 --> 00:38:54,76.5346531 We learned from each other. 382 00:38:54,86.5346531 --> 00:38:59,76.4346531 We have endless training events were on mighty networks 24 7. 383 00:38:59,76.5346531 --> 00:39:00,926.5346531 So it's a big deal. 384 00:39:00,936.5346531 --> 00:39:11,526.5346531 And we spend most of our Personal capital and policy and advocacy around ethical AI governance out there in the world. 385 00:39:11,566.5346531 --> 00:39:14,446.5346531 So join us to be part of the movement. 386 00:39:14,456.5346531 --> 00:39:16,756.5346531 Join us for a course, join our community. 387 00:39:17,116.5346531 --> 00:39:20,416.5356531 We would love to have anyone anywhere on their AI journey. 388 00:39:21,746.5356531 --> 00:39:22,196.5356531 Perfect. 389 00:39:22,216.5356531 --> 00:39:23,376.5356531 Thank you so much. 390 00:39:23,666.5356531 --> 00:39:32,186.5346531 And our last question is always, what's one piece of advice that you can give our nonprofit listeners? And I feel like you've given so much already, but one quick piece. 391 00:39:33,731.5356531 --> 00:39:41,581.5356531 The piece that I want to share is that you are a gift to the nonprofit sector on loan to your current employer. 392 00:39:42,621.5356531 --> 00:39:45,541.5356531 You are a gift on loan to your current employer. 393 00:39:45,571.5356531 --> 00:39:50,191.5356531 No matter what you do, protect your energy because you are needed. 394 00:39:50,731.5356531 --> 00:39:52,741.5366531 The whole sector needs you. 395 00:39:52,801.5346531 --> 00:39:55,991.5356531 If And you are talented and you can write your ticket. 396 00:39:56,11.5356531 --> 00:39:56,951.5356531 You can go anywhere. 397 00:39:56,951.5356531 --> 00:39:57,961.5356531 You can do anything. 398 00:39:57,961.5356531 --> 00:40:00,351.5356531 So know that you are a gift. 399 00:40:01,341.5356531 --> 00:40:03,271.5356531 Oh, thank you so much. 400 00:40:03,311.5356531 --> 00:40:07,801.5356531 Thank you so, so much for sharing with us today and to our listeners. 401 00:40:07,801.5356531 --> 00:40:09,511.5356531 I want to thank you for tuning in. 402 00:40:09,911.5346531 --> 00:40:14,601.5356531 I hope that you tune in again next week and I look forward to having more conversations. 403 00:40:14,711.5356531 --> 00:40:15,181.5356531 Bye. 404 00:40:15,851.5356531 --> 00:40:16,841.5356531 Bye everybody. 405 00:40:23,551.5356531 --> 00:40:33,621.5356531 That's a wrap for today's episode of Nonprofit411 I hope our discussion with nonprofit professionals and experts gave you actionable ideas to take your fundraising efforts to the next level. 406 00:40:34,121.5356531 --> 00:40:40,351.5356531 At Nonprofit411 I partner with leaders like you to develop strategies and guide you through implementation. 407 00:40:40,731.5356531 --> 00:40:42,501.5346531 Visit nonprofit411. 408 00:40:42,521.5356531 --> 00:40:45,551.5356531 org to learn more and let's take the first step together. 409 00:40:45,741.5356531 --> 00:40:46,631.5356531 See you next time. 410 00:40:47,61.5356531 --> 00:40:47,421.5356531 Bye.
Feeling the pressure of meeting your nonprofit's fundraising goals? You're not alone.
.999Many nonprofits struggle with limited resources, donor fatigue, and a lack of clear strategy. 3 00:00:11,839.999 --> 00:00:16,160 Nonprofit411 offers personalized coaching to address these challenges head on. 4 00:00:16,689.999 --> 00:00:23,645 Together, we'll tackle your biggest obstacle Boost your donor relationships and build momentum toward your mission.
(00:24):
Don't let obstacles slow you down.
Start your coaching journey today at Nonprofit411. 7 00:00:29,994.999 --> 00:00:30,364.999 org. 8 00:00:35,35.510204082 --> 00:00:46,495.510204082 Welcome to the Nonprofit411 podcast, the podcast where we speak with nonprofit professionals and experts to uncover strategies, share insights, and tackle the challenges you face in fundraising and sustainability. 9 00:00:47,35.509204082 --> 00:00:58,505.510204082 I'm Sarah Barton, your fundraising growth partner and the founder of Nonprofit411 My mission is to help you develop tailored strategies and support you as you implement them, ensuring your nonprofit thrives. 10 00:00:59,20.510204082 --> 00:01:05,260.510204082 Let's dive into today's episode and learn from the experiences and expertise of those who have been in your shoes. 11 00:01:06,531.632653061 --> 00:01:08,721.632653061 Hello, and welcome to the Nonprofit411. 12 00:01:09,21.632653061 --> 00:01:11,1.632653061 I'm so excited that you joined us today. 13 00:01:11,11.632653061 --> 00:01:23,61.632653061 And I am psych excited to welcome our guest Anne Murphy from CEO and founder of Nonprofit411 and founder of She Leads AI. 14 00:01:23,61.632653061 --> 00:01:23,711.632653061 Welcome. 15 00:01:24,151.632653061 --> 00:01:24,971.632653061 Thanks, Sarah. 16 00:01:24,981.632653061 --> 00:01:26,331.632653061 It's a delight to be here. 17 00:01:27,66.632653061 --> 00:01:29,696.632653061 I'm so excited to have a conversation with you today. 18 00:01:30,116.632653061 --> 00:01:39,651.632653061 So, but before we get started I always start with my favorite question, which is what is your favorite hobby? My favorite hobby is backcountry backpacking. 19 00:01:39,661.632653061 --> 00:01:45,341.63265306 If everything goes to plan, I would be either solo or with my daughter. 20 00:01:45,361.63265306 --> 00:01:50,501.63265306 She have, I have reared her to be able to carry heavier bags than I can. 21 00:01:51,961.63265306 --> 00:01:54,711.63265306 So she's very handy to have on a backpacking trip. 22 00:01:54,721.63265306 --> 00:01:58,221.63265306 But yeah, that's my, that's my happy place is backcountry backpacking. 23 00:01:58,891.63265306 --> 00:01:59,681.63265306 Oh, how fun. 24 00:01:59,911.63265306 --> 00:02:00,871.63265306 That's exciting. 25 00:02:00,961.63265306 --> 00:02:01,271.63265306 Yes. 26 00:02:01,721.63265306 --> 00:02:01,891.63265306 Yeah. 27 00:02:02,71.63265306 --> 00:02:02,781.63265306 Well, awesome. 28 00:02:02,821.63265306 --> 00:02:04,221.63265306 I, I've never done that. 29 00:02:04,251.63265306 --> 00:02:08,211.63265306 So, it'll be something, yeah, maybe it's something I should think about. 30 00:02:08,581.63265306 --> 00:02:09,691.63265306 I think you should. 31 00:02:09,691.73265306 --> 00:02:10,771.63265306 I think you should. 32 00:02:11,151.63265306 --> 00:02:11,571.63265306 Yeah. 33 00:02:11,631.63265306 --> 00:02:16,801.63065306 I'll have to recruit my son who is, he can carry more than me for sure. 34 00:02:16,811.63065306 --> 00:02:23,791.63165306 So yeah, you gotta have, you, you need the next generation to, to heavy, to carry all the heavy things. 35 00:02:24,866.63165306 --> 00:02:25,906.63165306 They carry the water. 36 00:02:25,906.63165306 --> 00:02:27,776.63165306 You carry the empty bottles, right? Yep. 37 00:02:28,116.63165306 --> 00:02:30,396.63165306 That's literally exactly what happens with my daughter. 38 00:02:30,396.63165306 --> 00:02:31,276.63165306 She carries the water. 39 00:02:31,276.63165306 --> 00:02:42,366.63165306 I carry the bottles That's so funny So, can you tell our listeners a little bit about yourself and about the organizations that you work with? Sure. 40 00:02:42,416.63165306 --> 00:02:46,86.63065306 Hi everybody Thank you so much again, Sarah for having me. 41 00:02:46,96.63065306 --> 00:02:46,806.63065306 I'm excited. 42 00:02:46,826.63165306 --> 00:02:47,986.63165306 I love your podcast. 43 00:02:48,616.63165306 --> 00:03:05,326.63165306 I Like lots of people, you know, I found my way into fundraising kind of weirdly, you know, I was an intern, I needed money there was literally a sign on the door that said we have an, like, de development I didn't know what development was. 44 00:03:05,336.63165306 --> 00:03:07,946.63165306 I thought it was like natural resources, had no idea. 45 00:03:08,436.63165306 --> 00:03:14,266.63165306 So I got my start in fundraising there in higher education and have a fabulous career. 46 00:03:14,286.63165306 --> 00:03:28,796.63065306 Like did all the things, you know, ran campaigns and got to work with all sorts of amazing faculty and start scholarships and do buildings and run large teams and just very, very stimulating, interesting career. 47 00:03:30,481.63165306 --> 00:03:49,821.63165306 But I got to a point like lots of us did around COVID where I started to wonder what do I really, really want to do when I grow up and I started to feel like I could do more if I were out on my own because I wanted to work with a variety of different causes, right? Like I believe in higher ed. 48 00:03:49,891.63165306 --> 00:03:50,761.63165306 Absolutely. 49 00:03:50,761.63165306 --> 00:03:51,611.63165306 Particularly. 50 00:03:51,911.63165306 --> 00:03:53,761.63165306 I've always worked in STEM fields. 51 00:03:54,141.63165306 --> 00:03:59,401.63165306 I, there's no question that that is critically important and that I'm making an impact in the world. 52 00:04:00,61.63165306 --> 00:04:09,101.63065306 But I felt like there were other pockets where the, the fact that I always think of myself as kind of born on third base. 53 00:04:09,241.63165306 --> 00:04:12,171.63065306 I have all these unearned privileges. 54 00:04:12,211.63165306 --> 00:04:14,21.63065306 I've had people pour into me. 55 00:04:14,21.63065306 --> 00:04:15,521.63115306 I've been able to go to conferences. 56 00:04:15,521.63115306 --> 00:04:16,391.63165306 I've had mentors. 57 00:04:16,421.63065306 --> 00:04:17,341.63165306 I've had great jobs. 58 00:04:17,341.63165306 --> 00:04:22,481.63165306 I've had a career where I've been paid 30 years. 59 00:04:23,461.63165306 --> 00:04:24,921.63165306 Now I can give back. 60 00:04:24,921.63165306 --> 00:04:29,961.63165306 So I knew that if I launched my own consultancy, I could work in spaces where. 61 00:04:30,706.63165306 --> 00:04:34,766.63165306 Some of the larger firms might not, it might not make sense for them to be there. 62 00:04:34,776.63165306 --> 00:04:36,86.63165306 Just budget wise. 63 00:04:36,486.63165306 --> 00:04:37,836.63165306 I could work in those spaces. 64 00:04:38,36.63165306 --> 00:04:42,646.63265306 I could deliver incredibly helpful you know, coaching and consulting. 65 00:04:42,926.63265306 --> 00:04:48,156.63265306 And I would also be able to do it for a breadth of different causes, which was appealing to me as well. 66 00:04:48,396.63265306 --> 00:04:50,366.63265306 So my first two clients were art centers. 67 00:04:50,406.63265306 --> 00:04:51,186.63265306 It's wonderful. 68 00:04:51,436.63265306 --> 00:04:59,516.53265306 And went from spending every waking moment with engineers to having And you know, being able to do some really neat work with a couple of art centers. 69 00:05:01,136.53265306 --> 00:05:05,266.53265306 So that's kind of, that kind of brings us up to about right now. 70 00:05:05,346.53265306 --> 00:05:15,946.53165306 The next phase that I would share of the evolution is that I really caught the AI bug when it first came out. 71 00:05:15,986.53265306 --> 00:05:22,626.53265306 Well, when generative AI hit the scene with gusto and that was late 22, late 2022. 72 00:05:25,186.53265306 --> 00:05:31,136.53265306 Like fundraising, everyone, sometimes you have like an interesting path that first spark with AI. 73 00:05:31,186.53265306 --> 00:05:38,596.53265306 And for me, it was that I was at the outset of a very difficult 18 month long bout with long COVID. 74 00:05:39,336.53265306 --> 00:05:41,906.53165306 And it was at the same time as I was. 75 00:05:41,966.53265306 --> 00:05:48,156.53265306 No longer an employee because I had great idea that I was going to be an entrepreneur, had no idea how to be an entrepreneur. 76 00:05:48,466.53265306 --> 00:05:50,16.53265306 So I'm trying to launch a business. 77 00:05:50,56.53265306 --> 00:05:54,926.53265306 I was sleeping all the time, had no energy, like my brain was scrambled eggs. 78 00:05:55,316.53165306 --> 00:05:59,426.53265306 And then chat GPT hit the scene and it gave me my. 79 00:05:59,701.53265306 --> 00:06:11,841.53265306 My thinking ability back, it allowed me to put, to string two ideas together and to get them like out of my brain in a sentence format, which I wasn't able to do. 80 00:06:11,871.53165306 --> 00:06:16,731.53265306 So that kind of leads me to, to where we are today with the AI piece. 81 00:06:18,501.53165306 --> 00:06:20,601.53265306 Well, what an interesting journey. 82 00:06:20,971.53265306 --> 00:06:29,981.53265306 I have also worked in higher ed, so, you know, we have that in common and something you said really resonated with me and it's kind of part of my journey. 83 00:06:30,21.53265306 --> 00:06:30,641.53265306 Also. 84 00:06:31,461.53265306 --> 00:06:42,521.53265306 It's that as a fundraiser, we, we do learn skills that every nonprofit needs, but not every nonprofit is privileged to have. 85 00:06:43,191.53165306 --> 00:06:53,601.53265306 And I also started my business Nonprofit411 because I want to help all nonprofits be sustainable. 86 00:06:53,971.53265306 --> 00:06:59,231.53265306 And it is always amazing to me that sometimes. 87 00:07:00,791.53265306 --> 00:07:12,151.53265306 What I might consider the simplest of changes, but they're unknown changes until they're introduced can make such a huge impact on a nonprofit. 88 00:07:12,991.53265306 --> 00:07:14,121.53265306 Absolutely. 89 00:07:14,161.53165306 --> 00:07:23,151.53265306 And it's, I mean, to all the fundraisers out there listening, know that your skillset is vast. 90 00:07:23,466.53265306 --> 00:07:28,586.53265306 You are capable of so much more than, you know, it's remarkable to me. 91 00:07:28,586.53265306 --> 00:07:34,836.53265306 I immediately signed up for a million different coaching programs upon becoming an entrepreneur. 92 00:07:35,456.53265306 --> 00:07:51,436.53265306 And I was amazed by how my skillsets stood up to other people in the courses and the programs, because there were things that we do, there are things that we do as fundraisers that other people consider. 93 00:07:51,611.53265306 --> 00:07:56,811.53265306 Very difficult to achieve skill sets and we just do them as a matter of course. 94 00:07:58,51.53265306 --> 00:07:59,671.53265306 Outreach cold outreach. 95 00:07:59,711.53265306 --> 00:08:06,271.53265306 Did you guys know that most people do not know how to reach out to leads? They don't know how to do it. 96 00:08:06,301.53265306 --> 00:08:07,711.53265306 All of my coaching programs. 97 00:08:07,711.53265306 --> 00:08:10,841.53165306 The majority of the time was how to reach out to leads. 98 00:08:10,841.53165306 --> 00:08:17,301.43265306 And I was sitting there going like, how do you guys do your work without picking up the phone? Yeah. 99 00:08:17,481.53265306 --> 00:08:20,381.53265306 Well, it's funny because I have. 100 00:08:20,411.53265306 --> 00:08:21,331.53265306 So when I worked. 101 00:08:21,686.53265306 --> 00:08:33,486.53265306 at the university, I did not do major gifts and I didn't do planned giving, which those two tend to have a lot more telephone component and more meeting component. 102 00:08:33,876.53265306 --> 00:08:36,726.53265306 And so those are skills that I have to practice. 103 00:08:36,766.53365306 --> 00:08:44,366.53365306 Now I definitely have more experience doing it because when I was in development, I actually became director of advancement under advancement. 104 00:08:44,366.53365306 --> 00:08:46,786.53365306 I had both admissions and development. 105 00:08:47,36.53365306 --> 00:09:02,856.53165306 And so, yeah, so it was a very large team and admissions is entirely interacting with individuals, right? And you have to be talking to them, texting them, emailing them, whatever it is, however they prefer to communicate. 106 00:09:02,856.53165306 --> 00:09:03,916.53165306 You do that all the time. 107 00:09:04,416.53165306 --> 00:09:04,436.53165306 Yeah. 108 00:09:05,201.53265306 --> 00:09:05,571.53265306 Yeah. 109 00:09:06,31.53265306 --> 00:09:12,681.53265306 And in development I personally was in charge of all of our direct mails, our alumni. 110 00:09:13,11.53265306 --> 00:09:22,731.53165306 And so a lot of the, in the email campaigns more direct mail campaigns, email was less of a thing at that time, you know? But it is true. 111 00:09:22,731.53165306 --> 00:09:27,231.53165306 You really do learn like how do, how do I talk to these people? And. 112 00:09:27,556.53165306 --> 00:09:35,946.53165306 You don't have to be afraid of them because they really do become friends in some ways, you know, companions supporters. 113 00:09:35,986.53165306 --> 00:09:38,606.53065306 They're your, you find out they're your cheerleaders. 114 00:09:40,256.53165306 --> 00:09:42,746.53165306 They're excited for everything that you're doing too. 115 00:09:42,876.53165306 --> 00:09:45,836.53165306 So, yeah, so that's, thank you for that. 116 00:09:46,326.53165306 --> 00:09:53,116.53165306 That affirmation for all of our fundraisers out there, because it is a very unique path. 117 00:09:53,346.53065306 --> 00:10:04,771.53165306 And, and for the nonprofit leaders who are listening that are not fundraisers, let it be an encouragement that There are people who can help you with these skills. 118 00:10:04,811.53165306 --> 00:10:08,751.53165306 They're actually just things that you learn and practice, right? Yes. 119 00:10:08,761.53165306 --> 00:10:09,201.53165306 Yeah. 120 00:10:09,201.53165306 --> 00:10:10,451.53165306 They're, they are. 121 00:10:10,471.53165306 --> 00:10:18,91.53165306 And, and we're out here and it can be the case that even just, you know, sitting down with. 122 00:10:18,506.53165306 --> 00:10:48,46.53165306 Somebody who's out here doing like what you do or I do for half an hour, an hour to figure out what are some of your gaps and what kind of support do you really need before going out? And this is just like a little bit of a sidebar, but for folks to think about before going out and putting an RFP out into the world or posting a job for a development officer, your, your money would go as well spent doing. 123 00:10:49,661.53165306 --> 00:11:12,371.53265306 doing like one or two sessions with a consultant before you do that so that they can help set you up for success, whether it's what you're actually looking for with your RFP or do you actually have a good setup to bring your first you know, major gift officer or direct mail professional or whatever on board because you may not be set up for success. 124 00:11:12,381.53265306 --> 00:11:12,771.53265306 So. 125 00:11:13,431.53265306 --> 00:11:13,931.53265306 If anyone's listening. 126 00:11:13,931.63265306 --> 00:11:17,741.53265306 Yes, I think that's so true. 127 00:11:17,961.53265306 --> 00:11:34,861.53265306 You know, a lot of times where the organizations that I work with start is actually creating those systems, right? Putting in systems so that we can Segment our populations or that we can collect our populations information in a way that's meaningful. 128 00:11:35,71.53265306 --> 00:11:50,561.53165306 I was just working with a client today and over the last couple of months, we got them onto a donor platform and it's been so fun to watch everyone on their staff as they come and I work with them to learn about the donor platform. 129 00:11:50,841.53165306 --> 00:11:53,341.53165306 Like, Oh my gosh, this is so amazing. 130 00:11:53,351.53165306 --> 00:12:01,356.53265306 This is going to help us so much, you know, But now they really are positioned to be able to really extend their reach. 131 00:12:01,426.53265306 --> 00:12:03,486.53265306 And before they felt constrained. 132 00:12:03,486.53265306 --> 00:12:05,256.53265306 And so it's so much fun. 133 00:12:05,536.53265306 --> 00:12:14,861.43365306 That's what I love about the work that I do to see organizations blossom and find out like, Oh wait, it doesn't have to be as heavy as we were carrying, like. 134 00:12:15,91.53365306 --> 00:12:23,481.53365306 Our pack doesn't have to be that heavy, you know, right? There's ways to like, lighten this pack that make it so much easier. 135 00:12:25,31.53365306 --> 00:12:33,476.53365306 So, on that note, can I share with you a little bit about the AI stuff and share with your listeners? Absolutely. 136 00:12:33,476.53365306 --> 00:12:38,596.53365306 Because I think AI is such a phenomenal tool. 137 00:12:38,616.53365306 --> 00:12:41,676.53365306 It's a phenomenal tool that has come into the world. 138 00:12:42,146.53365306 --> 00:12:47,146.53265306 And I, I just had a conversation with someone the other day and they said, Oh yeah, but that was before we had AI, Sarah. 139 00:12:47,146.53265306 --> 00:12:52,766.53365306 And I was like, Yeah, because I really has changed a lot of things. 140 00:12:52,766.53365306 --> 00:13:05,496.53265306 So yeah, help us to know about kind of how, how your AI journey has evolved and where it's taken you kind of, extending the backpacking metaphor with AI. 141 00:13:05,546.53265306 --> 00:13:18,606.53365306 I was Think about it like, yes, the use of AI is going to lighten your backpack, but there's another thing that it's going to do that's really kind of under the radar. 142 00:13:18,606.53365306 --> 00:13:22,526.53265306 It's something that people don't talk about a lot, but it's really important for nonprofits. 143 00:13:23,266.53365306 --> 00:13:44,566.53265306 Staff and advocates to think about, which is there are times when we can use AI for a project that historically may drain us or, or bring conflict, unnecessary conflict, or where it just takes us too long. 144 00:13:45,766.53365306 --> 00:13:56,836.53265306 We know that we quote unquote should be able to do it faster or if we didn't have desk brain, it would be done faster or something that's emotionally laden. 145 00:13:57,286.53365306 --> 00:14:05,716.53365306 So I'll give you an example of the emotionally emotionally laden and then I'll go back and tell you how I arrived here. 146 00:14:05,716.53365306 --> 00:14:11,166.53365306 But one of the things that's always been challenging for me is writing condolence letters. 147 00:14:11,731.53365306 --> 00:14:28,986.43365306 And for me, I could not give myself permission to write a condolence letter that was like based on the last one I wrote, you know, maybe there was a little bit of something, but more, more often than not, I was writing something that was unique to me. 148 00:14:29,196.53365306 --> 00:14:35,606.53365306 To that person, I put my I would put myself in a space of, you know, having a conversation with them. 149 00:14:35,606.53365306 --> 00:14:39,466.53365306 Typically, we're talking to a widow, right? Having a conversation with them. 150 00:14:39,466.53365306 --> 00:14:43,516.53315306 I'd be reflecting on their loved one to be reflecting on their family values. 151 00:14:43,516.53315306 --> 00:14:48,486.53365306 You know, I'm trying to put it in exactly the right words because someone's grieving. 152 00:14:48,486.53365306 --> 00:14:51,876.43365306 You don't want to send something that has, you know, a word that it. 153 00:14:52,316.53365306 --> 00:14:54,426.53365306 You know, doesn't feel right. 154 00:14:55,316.53365306 --> 00:15:01,476.53365306 Well, now 90 minutes has gone by and I may or may not actually have the condolence letter written. 155 00:15:01,756.53365306 --> 00:15:09,186.53265306 And I am emotionally drained, right? I've now worked on something that in reality could have taken me 20 minutes. 156 00:15:09,406.53365306 --> 00:15:13,746.53365306 I've worked on it for an hour and a half and I've used some of my best energy of the day. 157 00:15:14,26.53365306 --> 00:15:26,616.53265306 So when I started developing tools with AI, the first, the second thing I made was a thank you letter generator that also works for condolence. 158 00:15:27,56.53365306 --> 00:15:54,551.53365306 Notes so that and it's beautiful like it's trained on my voice It brings in Maya Angelou quotes if you want like it's lovely and it Very rarely fails and even if it does it just means I need to change a couple of words and in that example now I'm still I'm inputting the special things about the loved one I'm not, it's not as though I'm not reflecting or fully participating in this process. 159 00:15:54,571.53365306 --> 00:16:00,831.53365306 It's just that I'm not also wordsmithing it within an, you know, within an inch of its life. 160 00:16:00,871.53365306 --> 00:16:10,451.53365306 I'm, you, I'm putting my effort into what was special about that individual, not into, you know, every, where every single comma is and stuff. 161 00:16:10,461.53365306 --> 00:16:14,251.53365306 So, yes, example, right. 162 00:16:14,741.53365306 --> 00:16:15,51.53365306 Yeah. 163 00:16:15,81.53365306 --> 00:16:15,731.53365306 I love that. 164 00:16:15,761.53365306 --> 00:16:16,891.53365306 I love that example. 165 00:16:17,151.53265306 --> 00:16:38,671.53365306 I think that You know, that is often where organizations or not professionals, not the organizations, but where professionals get stuck, right? When we are only kind of sure when we're on what we need to do, but not really sure on what we need to do it. 166 00:16:38,921.53365306 --> 00:16:44,221.5336531 And it's where the burnout stems, right? The burnout stem from those moments. 167 00:16:45,256.5336531 --> 00:16:57,606.5336531 Yeah, it's where the burnout sits and then like, say I worked on that condolence note for 90 minutes and then I sent it on to the person whose signature it was supposed to go out under and they said, I don't like it. 168 00:16:57,926.5336531 --> 00:17:03,566.5336531 Well, if you've only spent like 10 minutes on it, your feelings aren't that hurt, not compared to when you spent 90 minutes on it. 169 00:17:04,656.5336531 --> 00:17:16,76.5336531 So, the way that I got here to Really being an AI optimist, and I do want to point out, it's not that my enthusiasm for AI is abject. 170 00:17:16,396.5336531 --> 00:17:18,846.5336531 I lose just as much sleep as the next person. 171 00:17:18,876.5326531 --> 00:17:31,96.5336531 I, you know, worry about the parade of horribles, worry about the robots taking over, worry about, worry about our, our economy, people's employment, worry about all the things. 172 00:17:31,96.5336531 --> 00:17:39,946.5336531 But I also am heartened by the opportunity for AI to level the Proverbial playing field. 173 00:17:39,986.5336531 --> 00:17:51,516.5326531 I see AI as an opportunity to put power and proximity to power into the hands of people who historically have not been in those roles or in those spaces. 174 00:17:52,356.5336531 --> 00:18:30,211.5336531 And what's particularly awesome about it is that one thing that's true is people in leadership, C suite and up, are, are uniquely unqualified to make decisions about how AI is implemented in their organizations because the people who are using it are the front lines people, they're the interns, they're the admins, they're the major gift officers, the direct mail writers, like, you know, the people doing the work are the ones who are Farther along in their AI journey, typically leadership folks need to be informed what's happening. 175 00:18:30,591.5336531 --> 00:18:51,141.5336531 So now, those of us who've been out there on the front lines, we have this additional layer of authority and responsibility and clout, because we're here to tell the bosses, you know, If you do that, the outcome is going to be this, right? If you do that other thing, the outcome is going to be this. 176 00:18:51,151.5336531 --> 00:18:55,511.5336531 So now we can start making the policies that we're affected by. 177 00:18:55,831.5326531 --> 00:19:11,481.5336531 We have to, in fact, so that's where I'm like super, super bullish on AI is that I think it can turn the power imbalance back to where it should be a little bit, right? Yeah. 178 00:19:12,61.5336531 --> 00:19:12,291.5336531 Yeah. 179 00:19:13,631.5336531 --> 00:19:15,1.5336531 I think that's great. 180 00:19:15,816.5336531 --> 00:19:17,466.5336531 Something that you just said right there. 181 00:19:17,536.5336531 --> 00:19:22,816.5336531 I was actually conducting an HR training a couple of weeks ago. 182 00:19:23,26.5336531 --> 00:19:29,406.5326531 I, I have been a director of HR and have my certification in HR. 183 00:19:29,921.5326531 --> 00:19:37,181.5326531 Have a certification in HR and, oh, can you hear me now? Yep. 184 00:19:39,971.5326531 --> 00:19:44,741.5326531 I moved my mic, everyone, so if you can't hear me for a second, I don't know what I was thinking. 185 00:19:44,741.5326531 --> 00:19:46,991.5326531 I was standing up and I forgot to move my mic. 186 00:19:47,471.5326531 --> 00:19:57,701.5326531 I was saying I conducted an HR seminar a couple weeks ago and I said something about policy and what I said about AI policy is that. 187 00:19:58,766.5326531 --> 00:20:09,996.5326531 You need to be ahead of that because people are using it whether or not you think they are and if you put restrictions and say it can't be used in our organization, they're using it some other way in your organization. 188 00:20:10,256.5326531 --> 00:20:43,926.5316531 Like that's the reality, right? They're either using it on their phone or they're working around your workaround, whatever it is, people are going to be using AI and so you need to really quickly Like yesterday, I started the conversation about AI and how do we as an organization use AI and when do we use AI and when do we use some old fashioned techniques, which the old fashioned techniques brings me back to this year. 189 00:20:43,936.5316531 --> 00:20:46,16.5316531 I've been really focused on making phone calls. 190 00:20:46,566.5326531 --> 00:20:52,256.5326531 You know, going back to an old fashioned technique, which is a very effective tool. 191 00:20:52,976.5326531 --> 00:20:54,956.5326531 A phone call is a very effective tool. 192 00:20:55,316.5326531 --> 00:21:10,516.5336531 So if we utilize AI and we replace very effective tools with AI perhaps unintentionally, but we may have, or experience some significant. 193 00:21:12,101.5336531 --> 00:21:16,71.5336531 Impact, right? Mm-hmm Mm-hmm Yes. 194 00:21:16,71.5336531 --> 00:21:16,791.5336531 And so, yeah. 195 00:21:17,271.5336531 --> 00:21:17,451.5336531 Yeah. 196 00:21:17,451.5336531 --> 00:21:19,581.5336531 So I think it's really important to have these conversations. 197 00:21:19,641.5336531 --> 00:21:23,901.5336531 There are some tools in our tool bag that we have to keep Yep. 198 00:21:24,21.5336531 --> 00:21:28,821.5336531 And there are some tools that we may be able to adapt with ai. 199 00:21:28,851.5336531 --> 00:21:29,421.5336531 Yes. 200 00:21:29,941.5336531 --> 00:21:30,271.5336531 Yeah. 201 00:21:30,271.5336531 --> 00:21:37,951.5336531 I think everything now should be seen on a continuum of 100% human to 100% ai. 202 00:21:38,341.5336531 --> 00:21:42,541.5336531 And many, many, many of the things that we do are gonna be. 203 00:21:43,21.5336531 --> 00:21:50,481.5336531 a mixture, and it's really fine tuning what is the best fit for each task. 204 00:21:50,811.5336531 --> 00:21:56,746.5336531 You know, an example would be, it'd be very easy to say, Absolutely. 205 00:21:56,996.5336531 --> 00:22:03,466.5336531 An in person visit with a donor is something that is a, like, for example, like you said, a phone call is a tool. 206 00:22:03,836.5336531 --> 00:22:08,166.5336531 That is one of the tools in our toolkit is meeting in person with a donor. 207 00:22:08,726.5326531 --> 00:22:15,426.5346531 And we know how magical it can be and how effective it is on the know, like, and trust continuum. 208 00:22:15,426.5346531 --> 00:22:18,186.5346531 And people give to people and all of those kind of things. 209 00:22:18,186.5346531 --> 00:22:20,806.5346531 And there's an element of, you know, showing respect. 210 00:22:21,396.5346531 --> 00:22:25,926.5346531 And, you know, meeting the people where they are proverbially and literally. 211 00:22:26,426.5346531 --> 00:22:34,996.5346531 That said, we learned in COVID, it's not absolutely necessary in all cases for us to be in person with our donors. 212 00:22:35,326.5346531 --> 00:22:41,526.4346531 In fact, now we're learning some donors would prefer to have a Zoom call with us. 213 00:22:42,486.5346531 --> 00:22:44,106.5346531 The next phase of this. 214 00:22:44,106.5346531 --> 00:22:52,666.5346531 So you're, so you're starting to think, okay, we went from, it's got to be in person, period, to maybe it doesn't have to be in person. 215 00:22:52,716.5336531 --> 00:23:06,96.5346531 Maybe it's more effective because we can get both members of the couple on zoom, where we're not going to get two members of the couple, you know, in one meeting, one physical location, there could be some benefits. 216 00:23:06,706.5346531 --> 00:23:09,846.5346531 And then we fast forward to, if we think about. 217 00:23:10,41.5346531 --> 00:23:23,261.5346531 What are some of the challenges that we have with in person meeting with donors? Well, we have the fact that, is it like 86 percent or 68? I get my numbers mixed up. 218 00:23:23,361.5346531 --> 00:23:31,201.5346531 Either 86 or 68 percent of Fundraisers have been sexually harassed by a donor or by a colleague. 219 00:23:31,531.5346531 --> 00:23:34,111.5346531 Okay, so now let's talk about risk management. 220 00:23:34,121.5346531 --> 00:23:40,521.5346531 How can we manage that risk? We could say, we're not sending fundraisers out to meet people anymore. 221 00:23:40,841.5346531 --> 00:23:42,791.5346531 That seems, that seems harsh. 222 00:23:43,771.5346531 --> 00:23:55,151.5346531 But, Maybe in this case, this is when we have donors who are preferring to not leave their house to go talk about philanthropy. 223 00:23:55,621.5346531 --> 00:24:07,101.5346531 We have people who are AI forward and who understand the benefit of working with avatars, which is something that our field is having a hard time adjusting to. 224 00:24:07,431.5346531 --> 00:24:16,326.5346531 Meanwhile, the rest of the world is spending a lot of time interfacing with AI avatars. 225 00:24:16,586.5346531 --> 00:24:35,146.5346531 So now it's like, hmm, maybe we should be moving into, and in our organization, using AI avatars because A, our donors prefer it, and B, it's safer from a risk management perspective than sending somebody out to somebody's living room. 226 00:24:37,406.5346531 --> 00:24:38,126.5346531 To continue on. 227 00:24:38,976.5346531 --> 00:24:40,466.5346531 It is, it's a continuum. 228 00:24:40,756.5346531 --> 00:24:50,446.5346531 Yeah, and maybe, maybe our, you know, maybe our continuum is that, like, we never send someone out alone, right? So, like, that limits their time. 229 00:24:50,456.5346531 --> 00:24:55,551.5346531 But we also do all these other two things too, right? Yeah, exactly. 230 00:24:55,641.5346531 --> 00:24:56,251.5346531 Exactly. 231 00:24:56,321.5346531 --> 00:24:59,151.5346531 So it gives us the chance to break what's already broken. 232 00:24:59,421.5346531 --> 00:25:10,91.5346531 Should we have been sending development officers out to people's homes in the middle of nowhere all by themselves? Should we have been doing that for since the beginning? Maybe, maybe not. 233 00:25:10,131.5336531 --> 00:25:24,721.5346531 You know, I would argue that kind I mean, I did it, of course, and I supervise people who did it, but right now, at my big age of 51, I would not say that it's a good idea to do that. 234 00:25:25,791.5346531 --> 00:25:27,651.5336531 I wouldn't send my kids out to someone. 235 00:25:28,371.5346531 --> 00:25:31,341.5346531 Yeah, in education, right, we tag team. 236 00:25:31,351.5336531 --> 00:25:33,521.5346531 You should always have two people with you. 237 00:25:34,1.5346531 --> 00:25:37,551.5346531 Kids, right? You should always I was I was a two year old teacher. 238 00:25:37,551.5346531 --> 00:26:07,16.5346531 So we always had you always had to have two people present Yeah, so it's a safety it's a safety mechanism to make sure that the children are safe and to make sure that the adults are safe, right so So, yeah, I think those I think that's such great thought right and In the nonprofit sector, sometimes the response to AI has been to really not talk about it. 239 00:26:07,166.5346531 --> 00:26:08,806.5346531 So we're still using it. 240 00:26:08,836.5346531 --> 00:26:11,356.5346531 We're still playing with it. 241 00:26:11,386.5346531 --> 00:26:14,146.5326531 We may be using it on the slide. 242 00:26:14,146.5336531 --> 00:26:15,326.5326531 We may be using it openly. 243 00:26:16,386.5336531 --> 00:26:17,426.5336531 It really is like that. 244 00:26:17,426.5346531 --> 00:26:21,416.5346531 Like sometimes you're like, I can talk about me using AI with that person. 245 00:26:21,416.5346531 --> 00:26:22,696.5346531 And I can with this person. 246 00:26:23,246.5346531 --> 00:26:47,736.5346531 But because we're choosing to react in that way, We're actually hurting the sector as a whole because we need to be having these deeper conversations about ethical use of AI and about how we utilize it as a tool to enhance our, our mission and our vision and our work. 247 00:26:49,226.5346531 --> 00:26:50,376.5346531 Right, I hear, I hear that. 248 00:26:50,846.5346531 --> 00:26:53,836.5346531 That's what you're, that's, you know, that's some of what you're saying. 249 00:26:53,896.5346531 --> 00:26:55,866.5346531 Yeah, that's what I'm saying. 250 00:26:55,886.5346531 --> 00:27:08,116.5346531 And also something to consider is that we do so much interfacing with people who are in the for profit sector who are currently going through the painful process of integrating AI into. 251 00:27:08,261.5346531 --> 00:27:11,381.5346531 their culture and their systems. 252 00:27:12,191.5346531 --> 00:27:20,621.5346531 Those folks who some of whom are our best donors or our board chairs, those folks are having the lived experience right now. 253 00:27:20,621.5346531 --> 00:27:21,841.5346531 That's not comfortable. 254 00:27:22,281.5346531 --> 00:27:32,301.5346531 And they will know beyond a shadow of a doubt how important it is to integrate AI and that you can't have a well functioning organization with. 255 00:27:32,361.6346531 --> 00:27:36,901.5346531 And they will be expecting the nonprofits they support. 256 00:27:37,351.5346531 --> 00:28:05,946.5336531 It'd be like saying, no, we're not going to use email, but an even bigger deal, right? If you were a donor and you found out that somebody didn't use Spreadsheets, or email, or whatever, or a shared drive, or, you know, that you wouldn't, you wouldn't, you might not keep them in your category of non profits you support, because you could support another organization that does something similar, that also has rock solid business operations. 257 00:28:06,576.5336531 --> 00:28:59,971.4346531 So there's going to be some extreme pressure, and I would like to see, Those of us who are kind of on the sidelines or where there's not a lot of psychological safety to talk about AI in your organization, I would like to see us bust through those issues so that we can be ahead of the game at least alongside our constituents who are going through this so that we don't ever have the awkward moment where we you know, we haven't done anything with AI and our policies and a donor or a board member saying to us, or an accreditation body, right, is saying, you know, what, where's your AI policies? And you're like, what AI policies? You know, as you say that what came to mind, the word that came to mind is you are not an early adopter. 258 00:28:59,971.5346531 --> 00:29:09,751.5346531 This is not an early adoption opportunity because AI has sped up the timeline of adoption so much on all fronts. 259 00:29:09,761.5356531 --> 00:29:10,191.5356531 Right. 260 00:29:10,681.5356531 --> 00:29:14,221.5356531 And, and the nonprofit sector has typically been a late adopter. 261 00:29:14,751.5356531 --> 00:29:17,541.5356531 And I try to be super respectful of. 262 00:29:18,181.5356531 --> 00:29:21,441.5356531 That recognition that, you know, some of us are early adopters. 263 00:29:21,451.5356531 --> 00:29:24,681.5356531 Some of us are mainstream adopters and some of us relate adopters. 264 00:29:25,1.5356531 --> 00:29:29,821.5356531 And we each have reason for that in our positions, whichever that position is. 265 00:29:30,421.5356531 --> 00:29:37,961.5356531 And I acknowledging that fully, that that is, you know, the way that we address things. 266 00:29:39,26.5356531 --> 00:29:46,586.5356531 The truth is that adopting policies related to AI now is no longer early adoption. 267 00:29:46,926.5356531 --> 00:29:53,436.5346531 It's no longer mainstream, and I would say mainstream is really in that full phase right now, right? Yeah. 268 00:29:53,486.5356531 --> 00:29:57,646.5356531 And so late adoption becomes like in a few months, right? Yeah. 269 00:29:57,656.5356531 --> 00:30:01,246.5356531 Because the timeline has been sped up so quickly. 270 00:30:02,466.5356531 --> 00:30:03,86.5356531 Yes. 271 00:30:03,226.5356531 --> 00:30:13,926.5356531 So if, so like for me, the, the, Stepping stones are first, you got to get your first 10 hours under your belt. 272 00:30:13,966.5356531 --> 00:30:23,176.5356531 Just use free ChatGPT, dink around on it, play, you know, don't worry about, don't worry about anything. 273 00:30:23,176.5356531 --> 00:30:24,216.5356531 Just create. 274 00:30:24,626.5366531 --> 00:30:25,526.5356531 Have fun. 275 00:30:25,576.5346531 --> 00:30:26,926.5356531 Spend 10 hours doing that. 276 00:30:26,946.5356531 --> 00:30:29,86.5356531 Have it evaluate an email that you've written. 277 00:30:29,96.5356531 --> 00:30:30,426.5356531 Have it write an email. 278 00:30:30,996.5356531 --> 00:30:31,906.5356531 Don't even sweat it. 279 00:30:32,26.5356531 --> 00:30:37,776.5356531 Then you go to the next phases, which is, you know, you're starting to learn how to use. 280 00:30:37,981.5356531 --> 00:30:40,641.5356531 the tool more adeptly. 281 00:30:40,651.5356531 --> 00:30:58,371.5356531 So you're learning how to write good prompts, which all that means is phrase things in a way that makes it easier for the large language model to parse all of the data that it has to parse to give you the output, to give you the output that you're actually looking for. 282 00:30:58,761.5356531 --> 00:31:01,711.5356531 So you're still using the tool at that phase. 283 00:31:02,221.5356531 --> 00:31:05,421.5356531 Once you're doing that, maybe let's say you're using AI. 284 00:31:06,346.5356531 --> 00:31:11,886.5356531 a couple of times a day, every day, then you're able to start scaling your skills. 285 00:31:11,896.5356531 --> 00:31:15,146.5346531 So now you're using it with stuff you really don't know how to do. 286 00:31:15,156.5356531 --> 00:31:23,821.5356531 You're like, hey, You know, I do not know anything about how to plan a backyard barbecue, right? Use it for your own life. 287 00:31:24,191.5356531 --> 00:31:32,641.5356531 You know, I don't versus a party at a roller skating par rink, which I would know how to do, right? Start trying to do things with it that you don't know how to do. 288 00:31:32,741.5346531 --> 00:31:36,821.5346531 So now you're not just in your zone of genius where you're trying to level up a little bit. 289 00:31:37,161.5346531 --> 00:31:38,461.5356531 Stuff you don't know how to do. 290 00:31:39,1.5356531 --> 00:31:48,416.5356531 Stuff you thought you were already at the very top of your game and getting that little extra margin where you're like, Wow, now I'm doing the best work of my life. 291 00:31:49,186.5356531 --> 00:31:55,316.5351531 And then the fourth stage is where you are not even using it as a tool anymore. 292 00:31:55,316.5351531 --> 00:31:58,646.5356531 You are in a symbiotic relationship with AI. 293 00:31:59,56.5356531 --> 00:32:01,406.5346531 It is part of every single thing you do. 294 00:32:01,416.5356531 --> 00:32:03,856.5356531 You wouldn't get out of bed in the morning without it. 295 00:32:04,786.5356531 --> 00:32:21,506.5356531 Now that takes some doing right and just takes time and reps, but that's the direction because this is where you need to be the symbiotic places where you need to be in order to stay relevant in order to be able to be ready for what's coming down the pike. 296 00:32:21,866.5356531 --> 00:32:24,156.5356531 We've got to start now with those 10 hours. 297 00:32:25,11.5356531 --> 00:32:37,131.5356531 Just start getting them under your belt so that you're moving in the right direction because you're going to be faced with big decisions that you won't be capable of making if you haven't been using AI. 298 00:32:37,371.5356531 --> 00:32:51,331.5356531 So that's my, that is my plea, is just get that first ten, get those first ten hours under your belt, then start fine tuning a little bit, you know, and then start using it for everything that you do. 299 00:32:52,306.5356531 --> 00:32:56,376.5356531 And then become, it's basically your thought partner, your colleague. 300 00:32:57,396.5356531 --> 00:33:00,636.5356531 I am so grateful that you just shared that. 301 00:33:00,696.5356531 --> 00:33:02,596.5356531 That is definitely the journey that I've been on. 302 00:33:02,596.5356531 --> 00:33:04,316.5346531 And I would say I'm in stage four. 303 00:33:04,776.5356531 --> 00:33:10,916.5356531 But I have never thought about helping outline that journey. 304 00:33:11,66.5356531 --> 00:33:24,536.5356531 Tim Lockie, I, when he was on my podcast a while ago, I can't remember if it was the first time or the second time he said, one of the wonderful things about AI is that the first time you use it, it brings joy. 305 00:33:25,76.5346531 --> 00:33:29,596.5356531 And I loved that because that is, that was and it was. 306 00:33:30,326.5356531 --> 00:33:32,956.5356531 I mean, gosh, it's been probably half a year ago. 307 00:33:32,956.5356531 --> 00:33:40,606.5346531 So it was six, six months ago, probably, you know, and if a, if a person hasn't done that yet you're right. 308 00:33:40,626.5356531 --> 00:33:52,916.5356531 That first 10 hours, you know, and I got to try this out so that you have, so that you can ask questions and so that you can be curious and you can learn about how other people are using it. 309 00:33:53,426.5356531 --> 00:34:03,1.5356531 I, I love to, as you were thinking about that, I thought about, oh yeah, this is, I've learned different things along the way when I've been using AI. 310 00:34:03,21.5356531 --> 00:34:14,411.5356531 One of the things I was telling someone yesterday, I was like, I stink at figuring out transition, transition sentences when I'm doing from one slide to the next slide. 311 00:34:14,431.5356531 --> 00:34:15,41.5351531 Oh my God. 312 00:34:15,41.5351531 --> 00:34:16,521.5356531 Perfect use case. 313 00:34:16,991.5356531 --> 00:34:17,571.5356531 Yeah. 314 00:34:17,791.5346531 --> 00:34:19,91.5356531 I do too, by the way. 315 00:34:19,461.5356531 --> 00:34:22,111.5356531 Yeah, well, it is one of the things. 316 00:34:22,481.5356531 --> 00:34:25,401.5356531 So I will create my slideshow. 317 00:34:25,451.5356531 --> 00:34:32,601.5356531 I create my speaker document and then I'll go in and I'll say, help me transition. 318 00:34:32,701.5356531 --> 00:34:34,541.5346531 Help me do the transitions between slides. 319 00:34:34,571.5356531 --> 00:34:36,671.5346531 And it helps me so much with that. 320 00:34:36,671.5346531 --> 00:34:50,96.5356531 And the other thing is, I want to make sure that it's engaging and so that I'm asking those questions and I've always written in my questions very intentionally on my, like, because I have to have that trigger or I'll just talk. 321 00:34:50,476.5356531 --> 00:34:53,286.5356531 And so, those are the things that it helps me with. 322 00:34:53,831.5356531 --> 00:35:08,351.5346531 You know, and so when we talk about moving our game and, and that's true for fundraising, like, what is it that thing, what is that thing that you're really hesitant about? It's the one thing, you know, you always struggle with. 323 00:35:08,681.5346531 --> 00:35:15,521.5346531 Is it the closing? Is it the the actual ask? Maybe it's that transition to get to the ask. 324 00:35:15,921.5346531 --> 00:35:21,331.5346531 Like those are great points that you can utilize AI for. 325 00:35:21,681.5346531 --> 00:35:29,831.5346531 To be able to say, okay, this is what I usually do when I'm with the donor, but I feel like I need help with, yes. 326 00:35:30,201.5346531 --> 00:35:30,831.5346531 Yeah. 327 00:35:30,981.5336531 --> 00:35:38,591.5336531 And so it brings us a different way to kind of calculate our energy. 328 00:35:38,591.5346531 --> 00:35:45,681.5346531 So I've been able to go from, you know, you think about, is it important or is it urgent? Is it, you know, which. 329 00:35:46,66.5346531 --> 00:35:48,806.5346531 Which combination of important and urgent are things. 330 00:35:49,956.5346531 --> 00:36:01,451.5346531 And we overlay that with, you know, stuff like, are we a morning person? Are we a night person? Are we a middle of the day person? Think about are we analytical? Are we creative? All these things. 331 00:36:01,451.5346531 --> 00:36:20,791.5346531 But what AI has enabled me to do That kind of transcends all of those issues is it allows me to save my best Most immaculate energy for the things that only I can do that discipline that unlock is Miraculous. 332 00:36:20,801.5346531 --> 00:36:33,141.5346531 So now if I, because I could bang my head against the desk forever with transition sentences from slides, if I can say, here's my dope, like this thing is this, this is going to knock everybody's socks off. 333 00:36:33,141.5346531 --> 00:36:35,101.5346531 This is a fantastic presentation. 334 00:36:35,791.5346531 --> 00:36:39,271.5336531 I just need the words for when I'm flipping the page. 335 00:36:39,411.5336531 --> 00:36:46,946.5346531 What are those? Right? Because we, you and I both know they don't need to be like, They're not like crowd stoppers. 336 00:36:46,976.5346531 --> 00:36:48,496.5346531 They're just, it's just patter. 337 00:36:48,536.5346531 --> 00:37:01,126.5336531 It's just, you know, parlaying it into the next idea to not have to do that task to save my energy so that when I'm actually doing a double black diamond task that matters. 338 00:37:01,666.5346531 --> 00:37:07,536.5346531 I have my energy about me versus having it dwindle away doing stuff that I can ask AI to do. 339 00:37:08,476.5346531 --> 00:37:09,26.5346531 Yes. 340 00:37:09,126.5346531 --> 00:37:09,626.5346531 Yes. 341 00:37:09,696.5346531 --> 00:37:10,566.5346531 I love that. 342 00:37:10,616.5346531 --> 00:37:14,186.5346531 So that you can always be on your A game when you need to be. 343 00:37:14,236.5346531 --> 00:37:15,436.5346531 When you need to. 344 00:37:15,476.5336531 --> 00:37:27,436.5346531 And then you start to get a sense of, wow, what is it like when you have that reservoir of energy for the things that you enjoy and that only you can do? It's really special. 345 00:37:27,436.5346531 --> 00:37:30,866.5346531 It's a different way to live your one precious life. 346 00:37:30,921.6346531 --> 00:37:32,131.4346531 Yes. 347 00:37:32,611.5346531 --> 00:37:32,701.5346531 Yes. 348 00:37:32,771.5346531 --> 00:37:33,341.5346531 I love that. 349 00:37:33,421.5346531 --> 00:37:33,701.5346531 Okay. 350 00:37:33,701.5346531 --> 00:37:34,851.5346531 We've got to transition. 351 00:37:35,121.5346531 --> 00:37:37,481.5346531 I'm pretty sure that we're going to be over time on this. 352 00:37:37,481.5346531 --> 00:37:38,11.5346531 Sorry. 353 00:37:38,771.5346531 --> 00:37:41,791.5346531 No, it's been a phenomenal conversation. 354 00:37:41,821.5346531 --> 00:37:43,681.5346531 I am so grateful. 355 00:37:44,271.5346531 --> 00:37:45,951.5346531 Tell our listeners where they can find you. 356 00:37:46,601.5336531 --> 00:37:47,91.5336531 Okay. 357 00:37:47,411.5346531 --> 00:38:03,221.5346531 So everybody, we launched an organization called She Leads AI and What our mission is, is to unite accomplished women to advance AI for global prosperity in that organization, which is She Leads AI dot AI. 358 00:38:03,241.5336531 --> 00:38:05,1.5346531 We have an academy. 359 00:38:05,1.5346531 --> 00:38:07,1.5346531 So we do AI education. 360 00:38:07,11.5346531 --> 00:38:11,301.5336531 Specifically, we help women learn how to lead in AI. 361 00:38:11,881.5346531 --> 00:38:13,951.5346531 This could be to repot yourself. 362 00:38:14,171.5346531 --> 00:38:14,711.5346531 Start an A. 363 00:38:14,711.5346531 --> 00:38:14,821.5346531 I. 364 00:38:14,821.5346531 --> 00:38:15,571.5346531 Consultancy. 365 00:38:15,601.5346531 --> 00:38:17,171.5346531 It could be so that you become the A. 366 00:38:17,171.5346531 --> 00:38:17,321.5346531 I. 367 00:38:17,331.5346531 --> 00:38:19,651.5346531 Go to person in your organization. 368 00:38:19,971.5346531 --> 00:38:23,411.5346531 Lots of use cases for leading an A. 369 00:38:23,451.5336531 --> 00:38:23,791.5336531 I. 370 00:38:24,151.5346531 --> 00:38:35,611.5346531 We also have a consulting agency, so we encourage people in the nonprofit sector or small and medium sized businesses who serve the nonprofit sector to reach out to us. 371 00:38:35,721.5346531 --> 00:38:37,51.5346531 We can help you with your A. 372 00:38:37,51.5346531 --> 00:38:37,171.5346531 I. 373 00:38:37,231.5346531 --> 00:38:38,131.5346531 Training your A. 374 00:38:38,131.5346531 --> 00:38:38,461.5346531 I. 375 00:38:38,756.5346531 --> 00:38:39,826.5346531 Governance your A. 376 00:38:39,826.5346531 --> 00:38:40,16.5346531 I. 377 00:38:40,46.5346531 --> 00:38:49,626.5346531 Implementation and we also have a community where women who are learning a I even women who are like, you know, have been in the game for 10 years. 378 00:38:49,626.5346531 --> 00:38:50,16.5346531 We are. 379 00:38:50,16.5346531 --> 00:38:51,16.5346531 It doesn't matter. 380 00:38:51,376.5346531 --> 00:38:52,766.5346531 We all hang out together. 381 00:38:52,796.5346531 --> 00:38:54,76.5346531 We learned from each other. 382 00:38:54,86.5346531 --> 00:38:59,76.4346531 We have endless training events were on mighty networks 24 7. 383 00:38:59,76.5346531 --> 00:39:00,926.5346531 So it's a big deal. 384 00:39:00,936.5346531 --> 00:39:11,526.5346531 And we spend most of our Personal capital and policy and advocacy around ethical AI governance out there in the world. 385 00:39:11,566.5346531 --> 00:39:14,446.5346531 So join us to be part of the movement. 386 00:39:14,456.5346531 --> 00:39:16,756.5346531 Join us for a course, join our community. 387 00:39:17,116.5346531 --> 00:39:20,416.5356531 We would love to have anyone anywhere on their AI journey. 388 00:39:21,746.5356531 --> 00:39:22,196.5356531 Perfect. 389 00:39:22,216.5356531 --> 00:39:23,376.5356531 Thank you so much. 390 00:39:23,666.5356531 --> 00:39:32,186.5346531 And our last question is always, what's one piece of advice that you can give our nonprofit listeners? And I feel like you've given so much already, but one quick piece. 391 00:39:33,731.5356531 --> 00:39:41,581.5356531 The piece that I want to share is that you are a gift to the nonprofit sector on loan to your current employer. 392 00:39:42,621.5356531 --> 00:39:45,541.5356531 You are a gift on loan to your current employer. 393 00:39:45,571.5356531 --> 00:39:50,191.5356531 No matter what you do, protect your energy because you are needed. 394 00:39:50,731.5356531 --> 00:39:52,741.5366531 The whole sector needs you. 395 00:39:52,801.5346531 --> 00:39:55,991.5356531 If And you are talented and you can write your ticket. 396 00:39:56,11.5356531 --> 00:39:56,951.5356531 You can go anywhere. 397 00:39:56,951.5356531 --> 00:39:57,961.5356531 You can do anything. 398 00:39:57,961.5356531 --> 00:40:00,351.5356531 So know that you are a gift. 399 00:40:01,341.5356531 --> 00:40:03,271.5356531 Oh, thank you so much. 400 00:40:03,311.5356531 --> 00:40:07,801.5356531 Thank you so, so much for sharing with us today and to our listeners. 401 00:40:07,801.5356531 --> 00:40:09,511.5356531 I want to thank you for tuning in. 402 00:40:09,911.5346531 --> 00:40:14,601.5356531 I hope that you tune in again next week and I look forward to having more conversations. 403 00:40:14,711.5356531 --> 00:40:15,181.5356531 Bye. 404 00:40:15,851.5356531 --> 00:40:16,841.5356531 Bye everybody. 405 00:40:23,551.5356531 --> 00:40:33,621.5356531 That's a wrap for today's episode of Nonprofit411 I hope our discussion with nonprofit professionals and experts gave you actionable ideas to take your fundraising efforts to the next level. 406 00:40:34,121.5356531 --> 00:40:40,351.5356531 At Nonprofit411 I partner with leaders like you to develop strategies and guide you through implementation. 407 00:40:40,731.5356531 --> 00:40:42,501.5346531 Visit nonprofit411. 408 00:40:42,521.5356531 --> 00:40:45,551.5356531 org to learn more and let's take the first step together. 409 00:40:45,741.5356531 --> 00:40:46,631.5356531 See you next time. 410 00:40:47,61.5356531 --> 00:40:47,421.5356531 Bye.
Popular Podcasts
Stuff You Should Know
If you've ever wanted to know about champagne, satanism, the Stonewall Uprising, chaos theory, LSD, El Nino, true crime and Rosa Parks, then look no further. Josh and Chuck have you covered.
The Joe Rogan Experience
The official podcast of comedian Joe Rogan.
24/7 News: The Latest
The latest news in 4 minutes updated every hour, every day.