Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:00):
Today's guest is the
kind of person who makes you
feel excited, and notoverwhelmed, about the future of
AI for nonprofits.
I am joined by the one and theonly Amy Newman social impact
entrepreneur, keynote speaker,author of Empower your Nonprofit
Simple Ways to Co-Create withAI for Profound Impact, and the
(00:20):
founder of Resourceful Nonprofit.
She's also an interdisciplinaryPhD researcher exploring how AI
is shaping human connection andcreativity.
Oh, and, during theconversation, she just casually
rocked her meta AI glassesduring our chat, which I was
very excited to ask her allabout.
She brings decades ofexperience at the intersection
(00:41):
of tech and nonprofit leadership.
All about what we want to do isuse AI to do more good,
ethically, creatively andintentionally.
So today, in this episode, wedig into just that what AI looks
like in the nonprofit space,talking about donor engagement,
how to really make your internalsystems more efficient,
building strategies for yourteam, how it can really spark
(01:03):
human creativity andcollaboration.
So lots of examples.
If you're already experimentingor just want to do it with more
thought and heart, this episodeis packed with smart and
grounded advice.
Let's welcome Amy to the show.
Speaker 2 (01:18):
I have found because
I do a lot of keynote speaking
in workshops and trainingcourses and teaching about this,
so I always pull people in theaudience who's using AI maybe
more than once a week, and it'sthe vast majority of people
these days.
But there are always a coupleof holdouts throughout and what
normally works well is to helppeople have their own mini
epiphany and breakthrough bygiving them, asking them, a
(01:42):
couple of pain points that theymight have in their day-to-day
roles, and then, if you arefamiliar with AI for nonprofits
or other applications, you cansay, oh, let's real quick, try
this one little thing over here.
And as soon as they see onething that makes their life
easier, that's where they gethooked.
Speaker 1 (01:58):
Okay, Amy, you are
really a longtime advocate for
using tech for good, which Ilove.
You are also a fellow authorCongratulations.
That is a very big feat.
What really got you started andinspired your focus on
responsible AI for nonprofits,and how did that really shape
the need and the desire forwriting your book?
(02:19):
Empower your Nonprofit.
Speaker 2 (02:22):
Sure, that's a great
question and I think I kind of
lucked out and got in the techspace in the mid-90s straight
out of the gates and half thetime I lived in Los Angeles and
half the time in Ohio.
But it's been reallyinteresting to watch the
progression of technology,obviously since that time when,
at the time, I had to convincepeople that email would catch on
right and it did it turns outthat it did.
(02:42):
And so every time new technologycomes out, there's
breakthroughs in what it can do,problems it can solve from a
social impact perspective thatit couldn't solve before.
But on the other side of thatdouble-edged sword is that
humans have a history that's alittle biased, so all that data
and information is capturedeverywhere online that is used
(03:05):
for training.
So there's some differentthings that you want to consider
, and as I watched this pathstart running faster and faster
maybe around 2017, I got reallyinterested in a lot more work
with diversity, equity,inclusion and thinking about
bias, because I didn't want acouple billion people to get
coded out of the future.
So that's my aim is to try tokeep it equitable and keep
(03:27):
people included, and so it'sjust a fast moving, absolutely
fascinating area.
Artificial intelligence there'sso much good happening that you
want to make sure that there'sa lot of conversations, but you
want to push it in the rightdirection as much as possible to
change the world.
Speaker 1 (03:42):
Yes, love that.
Looking back on what you juststated about, you were pushing
people to try email, emailmarketing.
Back then, what is that likebreakthrough thing now that
you're like urging people to door to try and maybe getting some
resistance against?
Speaker 2 (03:59):
Yeah, I have found
because I do a lot of keynote
speaking and workshops andtraining courses and teaching
about this.
So I always pull people in theaudience who's using AI maybe
more than once a week, and it'svast majority of people these
days.
But there are always a coupleof holdouts throughout, and what
normally works well is to helppeople have their own mini
(04:20):
epiphany and breakthrough bygiving them, asking them, a
couple of pain points that theymight have in their day-to-day
roles.
And then, if you are familiarwith AI for nonprofits or other
applications, you can say, oh,let's real quick, try this one
little thing over here.
And as soon as they see onething that makes their life
easier whatever that is thatapplies, that's where they get
(04:43):
hooked.
So I think that is a generalstatement.
It's not a particular tool, Iguess, but just how easy it is
is a novelty that people haven'texperienced if they haven't
actually used it.
And as soon as they see it,they think, oh, that's, that's
all it is.
That's amazing, it could dothat I.
They used to take me this longand then now I can do something
more fun, right?
So that's the beauty of it.
Speaker 1 (05:05):
Yes, yes, and I am a
big proponent and helped kind of
moderate fundraising AI for thepast two years with Nathan
Chappelle and Mallory Erickson,who you probably know really
well, and there's so manyteachings around it and
conversations happening in ourspace and really making sure
that we are because we have thatthat responsible, ethical, for
(05:27):
good hats on all the time is howcan we be leaders in what's
happening with AI when it doescome down to the day-to-day
operations?
Where have you seen maybe inthose conversations or with
clients responsibly integratedAI really bring the most value
to organizations?
And I mean it can run the gamutwhether that's the programming
(05:48):
side of things data, internalefficiencies, fundraising Are
there a couple examples that youcould share with listeners?
Speaker 2 (05:56):
Sure, I think one
that helps people in almost any
role and helps the organizationis probably content creation,
because now there's so manyimage and video creation tools
and help with writing, and Ithink for people who maybe
aren't in the marketing role orcommunications but want to maybe
do an even better job withstorytelling, there's a lot of
(06:18):
guidance that you can get fromany of your favorite bots
Microsoft Copilot, gemini, fromGoogle ChatTPT there's so many
good ones to choose from.
But I think it's a goodbrainstorming partner or also a
good checker of the toneafterwards and all things that
you're still putting the humanthought and ideas and stories
(06:39):
into it.
I don't think you can just setit and forget it anytime soon
and have it sound like it isfrom a real person.
You can kind of tell thedifference if it's just unedited
, but I think right now is agreat opportunity to start
trying content creation orbrainstorming.
I was just reading some research, just in general, that if you
use it as sort of an ideagenerator in a brainstorming
(07:01):
session, your in real lifecolleagues are virtual.
The number of creative ideaswas something like 60% higher.
It was a recent study, I'mforgetting the name of it, but
it's.
I think it's because it's agood brainstorming partner,
because it's like having a bunchof additional partners.
Whatever you ask it or whateveryou want it roles to play, you
can get a lot of insights, yeah.
Speaker 1 (07:21):
Oh, I totally agree.
I mean, one example is so Ihost the monthly giving summit.
It happened in February thisyear.
It's annual and at the end wehave a survey and we ask people
to say, like, what was yourfavorite thing, what are the
things that you'd like us towork on?
And then in the registration wealso ask questions about, like,
what are your biggestchallenges when it comes to
monthly giving?
And I put the answers intoChatGPT and I was like, based on
(07:44):
these answers, what is aproduct, a service, like
something I could create thatwould help as a solution to
these challenges, and that wouldbe like scalable, like
affordable, like fit the matchof this group of people.
And so it's been like a bunchof ideas, to your point.
Obviously, some of them I'mlike no, no, like that wouldn't
work.
But I was like Ooh, okay, thatcould actually work.
(08:05):
So that was one way.
Another is literally thispodcast.
So, pre every podcast guest, asyou know, this gets a questions
doc and I take either what'sbeen provided to me from the
form that you put in your bio,put that into chat, gpt, a
little bit about the topic, andthen I ask it to draft for me
(08:27):
what are about five to sixquestions that I could ask this
person and then tweak them,obviously, and then those are
the questions I use.
And then on the back end, oh mygosh, there's so many facets
that we use for it but one,literally.
So the intro, listener, thatyou heard at the beginning of
this episode was based on usrecording this conversation that
(08:48):
I'm going to take, took, andI'm talking so many tenses.
This conversation plugged inthe questions to chat GPT and
was like write me an intro andlike synopsis introducing this
conversation, and it creates theintro and obviously I judge it
because I want it to be in myown voice.
But those are some quick fireexamples of just the amount of
(09:12):
time that that saves me.
And before we jumped on this, Itold you I was like I have five
podcast interviews today, sothey're pretty like back to back
and so in between I'm able tovery quickly create those intros
, record those intros, get.
So in between I'm able to veryquickly create those intros,
record those intros, get thosesent to my team.
But that's just like oneexample Do you have?
I know content creation is oneDo you have any that's really
(09:33):
made a difference on theprogramming aspect of nonprofit
work and efficiencies yes, Onethat I think could be really
useful for a lot of things isGoogle's.
Speaker 2 (09:43):
I think they just
call it Gemini Advance, now the
pro version, but it has a deepresearch tool, and so I think,
if you're trying to figure out,it's like doing a literature
review in academia or justasking for a bunch of well-cited
sources with summaries, andit'll even give you a research
plan.
So if you're looking forwhatever your program is or
(10:03):
whatever you're trying to do,yes, you give it sort of you say
you know a prompt.
You say, hey, we're trying towork on this program or trying
to get funding for this orwhatever you're trying to
research.
You give it an outline, you sayI would like you to report back
these types of things and thesetypes of stories and these
types of examples.
I would like you to citewell-researched white papers,
(10:24):
like from UNICEF and the UnitedNations and the AI Institute or
whatever it is.
And it'll come back and say,okay, here's what type of
research we're going to do.
Have I missed anything?
Say, oh, yeah actually I wouldalso like you to deliver this or
to add this I'll make sure youcheck this author or this
podcast or whatever it is, andwithin maybe 10 or 15 minutes it
(10:45):
will go out and find I mean, Ido a lot of in-depth AI research
for my PhD, so I don't knowthat it works as well for every
single use case, but I almostuse it like a customized TED
Talk debriefing tool for anytopic where I need to just do
something different, right?
So then you say you do all that.
It comes back with 30 or 40website articles.
(11:06):
Not all of them go correctly tothe page it says, but it's
getting much better with thatand now you have a summary.
You have all these articles youcan look at in more details,
but it gives you the summary andyou just almost become like
this is the type of thing thatwould have taken a graduate
assistant.
10, 15, 20 hours to do in thepast, and so it's almost like
having your own personalgraduate research assistant.
(11:28):
So you could see how that couldbe helpful in any number of
areas, and I think perplexityhas similar tools, and now
ChatGPT, I think.
Speaker 1 (11:35):
Yeah, I was going to
say perplexity, yeah.
Speaker 2 (11:38):
A couple of my
friends who speak about AI and
other tech states.
It gets good when it getsboring, and I think it's getting
baked into so many things nowthat it's almost like everyone's
using it without realizing it.
And once they get thatbreakthrough application
whatever it is that they likenow they're off and running and
thinking like probably ourexperience when we first started
using it for different thingsis you think, oh well, if we
(11:58):
could do that, could it do this.
You think, oh well, if I coulddo that, could I do this?
You come to realize I can doalmost anything that you ask it.
But there's new tools comingout and nuances like the deep
research I think is a reallygreat way to brush up on a
potential donor or a potentialgrant partner or whatever you
need to do before you're meetingwith someone.
And yeah, you're getting allthese podcasts done.
Speaker 1 (12:18):
And before AI you
couldn't have talked to so many
people, right, you would havebeen doing all the backend stuff
yourself Less fun part Correct,correct, or a lot more time on
all the preparation for sure,yeah, and my friend so we spoke
about Mallory Erickson on theboard of her new product called
Practivated, and it's just thatthere's like an internal, like
it's all AI backed Tivi yeah,great name, right, and Tivi is
(12:41):
like your little AI assistantthat you can talk to, and the
whole point about Practivated isit allows you to be able to
practice a conversation you'regoing to have with an upcoming
donor or board member orcorporate sponsor.
You can plug in all thosedetails and it basically takes
on the role of that person basedupon a bunch of triggers you've
(13:02):
put into place, so it's gettingvery, very, very good.
So, leaning into that, thoughand very important in our space
is, data privacy and donor trustare critical.
So, when we're thinking aboutimplementing safely implementing
AI tools and really protectingvery sensitive information and I
know you've talked about thisin depth what are best practices
(13:24):
for that?
How much information are thetools saving or using of what we
put in?
How does that like?
When you're thinking aboutguidelines for nonprofits, any
practices that you'd recommend?
Speaker 2 (13:35):
I think the main one
to think about is the one that
you would think about launchingAnything that's different.
Is you want to have a strategyfirst or just be mindful or
thoughtful about what approachyou're going to take or not take
?
I think I've seen a lot ofchanges in companies embracing
openly using AI where it becauseif they don't, everyone's just
still using it on their phone ortheir iPad or their own
(13:56):
computer and different thingslike that Cause it's all the
shadow use of it.
I think people have figured outthat it's so helpful for so
many things.
Why not have everybody use itand embrace it and share the
success stories, because that'sa really good way to build
confidence and get people usingit.
There's just so manypossibilities right now.
My mind is always spinning withwhen you say that the
practicing talking to a donorit's great for practicing all
(14:19):
sorts of things interviews orhiring practice it's great to
practice lots of differentthings but I hadn't heard
specifically of the practicingfor talking to fundraisers.
Speaker 1 (14:29):
That's a great idea
yeah, look it up, practivatedcom
.
It's really cool.
Speaker 2 (14:34):
I think you'd be
really going to add that to my
my vault of tools on thrive andaiai I love that.
Speaker 1 (14:41):
Yes, that would be
awesome.
On the sensitive informationside, is there anything that,
when you're talking to clientsor that they're asking you
questions about just aboutanything coming across as
privacy tools?
Is there anything that you hearcoming up a lot, and how do you
mediate that discussion?
Speaker 2 (15:01):
I think, as people
realize that it's a great idea
to embrace AI openly for thereasons of security and safety
and a little bit betterup-to-date knowledge and
knowledge updates and things isyou do have to be mindful of a
lot of things in data andsecurity and the reason that you
want a strategy is you want tonot be scared or nervous about
it, but you do want to considerthings like.
(15:22):
You want to make sure everybodyis aware not to put any
personally identifiable donorinformation or otherwise into
anything with AI unless you knowfor sure that it's closed off
for you, like if you had a paidlicenses to some extent usually
do that and it's different withevery organization.
So you want to check and verifythat nothing would be used for
(15:44):
training.
But you just want to think itthrough and you want to make
sure that people know how to askquestions that aren't going to
prompt an accurate but biasedresponse based on including or
excluding right or wronginformation or leaving things
out.
A lot of times, if you don'tspecifically ask for examples of
maybe non-dominant people in afield, you're probably going to
(16:06):
get whatever is stereotypical,for example, and if you're not
used to thinking about it, youmight not notice and as soon as
you have some good training andyou realize not to put any
private information up, and youhave sort of a policy.
So if people aren't sure, isthis okay to use it for?
Is this not?
It's just talking it through,just like anytime you're doing
something that could be prettyfundamental change to your
(16:28):
organization in hopefully apositive way, you want to think
through where are we now, assessthe situation, see what people
want and keep people involvedtoo.
I think it's important for notjust for data security, but just
for in general.
It's a big difference sometimesbetween what you think somebody
would like or use and what theyactually do, and the best way
to find out is ask.
(16:49):
Usually.
Speaker 1 (16:50):
I love this.
Okay, so what I'm hearing iscome up with a strategy of how
your organization will use AICould be the tools, the
platforms, what for whatservices they might have.
Love that.
And then also to train your AItools on your organization so
that it's actually giving youback the information, materials,
(17:13):
content, ideas, brand voice,examples and everything that
actually fits yeah, what it isthat your organization embodies
and represents.
Speaker 2 (17:22):
Yes, and I think also
you want to think about stuff
like what's our policy as far aslow risk or high risk uses of
AI.
Right now Is there a time thathumans are always 100% of
whatever's happening there.
Are there times that we couldsay that anything like this is
fine to use it, but we need youto at least edit it and
proofread it and add your tonein or just some guidelines.
It doesn't need to proofread itand add your tone in, or just
(17:44):
some guidelines.
It doesn't need to be.
It can't be set in stone toomuch how fast everything is
changing.
But you just want to say, hey,we're embracing this, but here's
a few things to think about.
Here's some suggested uses.
Probably don't want to use itfor this yet until we know more
or have different tools orwhatever it is, and then it just
gives people more comfort andconfidence and that increases
(18:07):
their finding out all thesegreat ways to use it too.
Speaker 1 (18:08):
Awesome you mentioned
something this is alongside
your book that it can strengthenhuman creativity and
collaboration.
Has there been an example whenyou've been out speaking or
clients you've worked with whereAI has really been used to
deepen partnerships and elevatestory in that responsible manner
?
Speaker 2 (18:26):
Yes, something as
simple as just being able to
transcribe meetings where peopleagree to have it transcribed
and summarized, and have taskscreated automatically and you
can draft an email and send itout to everybody and schedule
follow-ups and all sorts ofstuff.
Some of the best use casesaren't maybe the most creative
(18:47):
and imaginative, like some ofthe ones that you hear about.
I'm wearing my AI glasses rightnow, my meta AI glasses.
Speaker 1 (18:55):
You are.
Speaker 2 (18:56):
Yeah, yeah, and so
see, I can take a picture just
by holding the button down and Ican ask it to translate things.
It's pretty slow now, but I canread anything in a different
language and tell me what itsays.
It can translate languages.
Now you're getting into thezesty fun things, right, and I
use it a lot to capture momentswhen I'm out and about.
(19:16):
I'm doing AI research and Iwant to start asking people what
they think about it live andjust I can record video on here
and different things like that.
So now you're getting into someinteresting, maybe, ways to
communicate with some of yourclients that you work with if
you had something like this andyou wanna make sure people know
about it and are comfortable andall that.
But I think there's a lot ofcool, zesty fun things, but at
(19:40):
the same time, there's somereally basic time-saving things.
That frees up time to do anyzesty fun things that you want,
not just using AI, right?
So if you'd save 10 hours aweek, then you can meet with
more donors and have lunch withthem and sit down and get to
know them as a person and do thehuman things that AI is not
capable of doing right now Ijust want to use the sweet spot
(20:01):
of where humans get at.
What does AI get at?
How do we partner up so we'regetting even better results in
shorter time, better job atfundraising, storytelling,
keeping track of things I meanuseful in so many things and
it's getting so baked in.
Speaker 1 (20:15):
So many things.
Speaker 2 (20:17):
Yeah, it's going to
not even be a word that people
talk about in that use AI prettysoon.
It's just going to be go dothis task or have your AI agent
go perform all these things andcomplete the task for you on
your behalf, right?
So?
Speaker 1 (20:30):
That's right.
That's right.
Okay.
Now, since you mentioned thatyou're wearing them now, I have
so many questions about theseglasses.
Sure.
That happens a lot.
So let's just say, a nonprofitorganization gets a pair of
these glasses.
Organization gets a pair ofthese glasses.
What would be some likecreative ways that they could
use them?
I'm thinking about like events,like what's some like practical
(20:50):
ways that this could be like abenefit to an organization.
Speaker 2 (20:54):
It's very
non-intrusive.
So, for example, in some of myworkshops I will tell people
that I'm going to be takingpictures with my glasses.
But walking around without acamera in your hand, people are
just a lot more comfortable andnatural and I think you can
capture things instantly.
If you're driving somewhere oryou're let's say, you're walking
around in an event, you justkind of can casually snap some
(21:16):
pictures or even a 60-secondvideo, and it's just even more
natural and real because peoplearen't stopping what they're
doing and posing and stuff likethat.
I think just that alone is kindof cool.
And to translate languages,translate documents I could see
a lot of really powerful usesfor it and you know these are
relatively new, so they keepadding enhancements.
(21:37):
But you can even have it, takea picture and then upload it to
Instagram right away, which Iwould use some caution.
Speaker 1 (21:46):
Yeah, exactly, make
sure you're doing the right
picture.
Yes, how good is thetranslation?
Is it actually?
Can you see the translationthrough the glasses?
Speaker 2 (21:56):
That is a great
question that people ask often
and doesn't have any visualdisplay yet.
So basically, they'represcription glasses that I have
, and then they also have the AI, so they have speakers that go
around your ears.
It's really handy because ifyou, let's say, you're somebody
who works with people out andabout in public, if there's a
quick question, you just ask it.
You say, hey, meta, it's good,I do it right now.
(22:18):
But and they just ask it likeyou would ask Siri but you're
just out and about with you knowwith somebody, and there's a
question or you need totranslate a couple words you
don't know.
You can just do all of thatwithout changing anything.
You know, what I like bestabout it is it breaks phone
hypnosis because you don't havea phone out so you can't do
anything else.
But take a picture of someone'sevent instead of getting you
(22:42):
know phone hypnosis.
Let me just go ahead, checkthis one thing check, oh, oh, oh
.
And you know, you don't evenpeople realize you're down the
rabbit hole yeah, so thisprevents phone hypnosis, like if
you're out and about and it'svery interesting, I'm glad you'd
be more present more present.
Yeah, it's great for being morepresent and grabbing
(23:03):
irreplaceable moments.
I took a funny video of mylittle niece.
I was part of the dance partytoo to row, row, row your boat
in a round and the dogs camethrough everyone's dancing and I
was like I have my glasses on.
I caught a couple seconds ofthe funniest video you've ever
seen, right, but you can use itfor all sorts of creative things
.
I'm sort of exploring now, soif anyone has good ideas, please
(23:24):
share things.
Speaker 1 (23:24):
I'm sort of exploring
now, so if anyone has good
ideas please share, because I'mtrying to learn all about them
so cool.
Okay, I'm gonna have to dive inand do some research on this.
If somebody is on the fencehasn't really gotten started yet
, what would be your like lowrisk, high impact way for them
to get started literally today,right after this episode?
Speaker 2 (23:40):
If you're not already
using Canva, I think it's magic
right as their AI tool.
I would definitely start usingthat because it's well worth it
to get a pro account.
Speaker 1 (23:49):
I believe they it's
free for nonprofits 501c3.
Speaker 2 (23:54):
Yeah, a free pro
account, right, and it just does
so many things.
Like, you can set your brandcolors and do all of your social
media posts.
Just make it in the colors.
You can resize it fromInstagram to whatever other
platform.
Yeah, canva is incredible, orwhatever you want to use, yeah,
and that one is so simple, butto do all the little tasks that
(24:14):
it does in seconds, you know,just a couple years ago it would
be hours and hours.
So that's another time saver,if you get good at it.
And again, you don't want toadd more in your day, more tasks
, because you're using AI,necessarily, but you want to add
more creativity, more humantouch, things that you
brainstorming with yourcolleagues, things that you wish
(24:34):
you had more time for, free itup into something as simple as
Canva, or doing research orfirst drafts.
Speaker 1 (24:49):
If you first drafts
can be hard for anything you
know as an author, sometimes thefirst draft you're just like
what's another way to say this?
Speaker 2 (24:52):
Or how can I think
about that?
It just gets you thinking on adifferent path sometimes, or
remembering things that youlearned or forgot about, or it's
those little gems along thetrail whenever you're
researching, or, yeah, and itsaves so much time and it does a
beautiful job with a lot ofdifferent things.
So amazing.
Speaker 1 (25:08):
Well, amy, thank you
so much for your time and your
work.
What's the best way for peopleto reach out to you and where
can they find your book?
Speaker 2 (25:17):
sure, so my book is
pretty easy to find.
It's's from Riley Empower yourNonprofit Simple Ways to
Co-Create with AI for ProfoundImpact.
It's on Amazon and my website,empoweryournonprofitorg also has
it.
And yeah, I think people reallylike meeting in person to learn
(25:38):
about AI hands-on with somebodythat knows about it.
In Ohio we have a programcalled TechCred that covers the
cost of a lot of tech training.
We're creating some AI-specifictech training so in-person
stuff too that you can getreimbursed, and so I think once
people have the confidence,they're off and running.
You can't stop them.
They're super fans.
What does it?
say oh, I don't like it, theytry it and then they're telling
(26:00):
everybody.
They come back with reports onhow well it works.
But I would love to hear anycomments and feedback about it
too on that site.
That'd be great.
Speaker 1 (26:09):
Amazing.
I love that you brought upin-person events.
I get asked a lot about like,what conferences should I go to?
And sometimes I don't thinkit's a conference.
I think it's something reallyspecific like this Like, go to
the things that you nichely wantto get better at, and sometimes
the conferences can be lovely,but it's lots of sessions,
usually very quick, but if youwant to deep dive into something
(26:30):
like where can you actuallyspend a better use of your time?
So I will wrap on that note.
I am somebody who is veryexcited about using it, getting
better at it.
So thank you so much for beinghere and for sharing your
knowledge and wisdom with ustoday.
Sure, thank you so much.
Speaker 3 (26:45):
Great to be on.
Thank you so much for tuninginto today's episode of Missions
to Movements.
If you enjoyed our conversationand found it helpful, I would
love for you to take a moment toleave a review.
Wherever you're listening, yourfeedback helps us reach more
change makers like you andcontinue bringing impactful
stories and strategies to theshow.
(27:07):
Don't forget to hit thatsubscribe button, too, so you'll
never miss an episode.
And until next time, keepturning your mission into a
movement.