August 23, 2025 • 14 mins
In this episode of The AI Breakdown, we unpack the difference between traditional automation and AI automation, sharing real-life examples from industries like HR, customer service, and finance. Discover practical tips and no-nonsense tools for making AI Automation work in your business.
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Episode Transcript
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(00:00):
Hi everyone, and welcome back to the AI breakdown, your deep dive into how AI is shaping work life and everything in between.
(00:07):
I'm Andy, and in today's episode, we explore AI automation, what it is, how it's different from the automation we've used for years, and how can businesses practically put it to use.
I'll also peek into the real AI automation we're implementing at Notify Technology.
And take you behind the scenes of how I use AI to streamline the production of this very podcast.
(00:31):
So let's dive in and break it down. 6 00:00:40,63.043217481 --> 00:00:41,323.043217481 Automation isn't new. 7 00:00:41,473.043217481 --> 00:00:44,233.043217481 It's been quietly powering our businesses for decades. 8 00:00:44,623.043217481 --> 00:00:56,563.043217481 It's those invisible systems humming in the background, moving data between platforms, firing off confirmation emails when you submit a form or handling those monthly billing cycles without anyone lifting a finger. 9 00:00:56,923.043217481 --> 00:00:59,893.043217481 Useful, absolutely, but let's be honest. 10 00:01:00,223.043217481 --> 00:01:06,733.043217481 It's predictable, rigid, and limited like a robot that can only follow the exact instructions you've programmed. 11 00:01:07,483.043217481 --> 00:01:12,913.043217481 Think about a traditional email filter that organizes your messages based on predefined rules. 12 00:01:13,243.043217481 --> 00:01:26,263.043217481 It follows the same criteria every time, but what happens when you receive an urgent message from a new client that doesn't match your predefined rules or when important project updates get buried because they don't contain your usual keywords. 13 00:01:26,983.043217481 --> 00:01:30,313.043217481 Traditional automation can't handle these nuanced scenarios. 14 00:01:30,673.043217481 --> 00:01:32,833.043217481 It lacks intelligence and adaptability. 15 00:01:33,553.043217481 --> 00:01:36,733.043217481 AI automation, on the other hand, flips the script entirely. 16 00:01:37,363.043217481 --> 00:01:45,313.04321748 Imagine an AI powered email filter that tracks your habits and starts promoting emails that are truly important and urgent. 17 00:01:45,763.04321748 --> 00:01:49,273.04321748 Elevating these to the top for your immediate attention automatically. 18 00:01:49,888.04321748 --> 00:01:54,478.04321748 This isn't just automation, it's the natural evolution of how our systems should work. 19 00:01:54,808.04321748 --> 00:01:57,418.04321748 Traditional automation follows static rules. 20 00:01:57,808.04321748 --> 00:02:06,28.04321748 AI automation learns and adapts where the system molds itself to you and your environment becoming smarter with every interaction. 21 00:02:06,688.04321748 --> 00:02:07,408.04321748 For your business. 22 00:02:07,408.04321748 --> 00:02:10,48.04321748 This means AI can handle nuance and context. 23 00:02:10,408.04321748 --> 00:02:12,688.04321748 It learns what matters to your specific operation. 24 00:02:13,108.04321748 --> 00:02:17,128.04321748 Discards I relevant noise and flags, genuine anomalies that need attention. 25 00:02:18,591.91562104 --> 00:02:26,31.91562104 Now let's bridge theory and reality and explore some examples of where AI automation is actually transforming businesses today. 26 00:02:27,126.91562104 --> 00:02:39,516.91562104 In hr, MasterCard transformed their recruitment process using AI automation slash in interview scheduling time by whopping 85% and expanding their candidate pool by 900%. 27 00:02:39,996.91562104 --> 00:02:46,986.91562104 Their recruiters now spend their time finding the perfect person for the job, rather than wrestling with calendars and drowning in admin. 28 00:02:47,676.91562104 --> 00:03:00,366.91562104 Top Denmark, a Danish insurance company transformed their customer service, particularly in areas like travel and car insurance with digital assistance that now handle a whopping 80% of routine queries. 29 00:03:00,816.91562104 --> 00:03:06,816.91562104 What's fascinating is that their staff now focus on solving complex issues that actually need human touch. 30 00:03:07,146.91562104 --> 00:03:13,281.91562104 They've even created specialized bot trainer roles where employees actively improve the AI's capabilities. 31 00:03:13,986.91562104 --> 00:03:20,256.91562104 This isn't about replacing people, it's about elevating what they do, freeing them from the mundane to tackle the meaningful. 32 00:03:20,916.91562104 --> 00:03:24,96.91562104 In finance, the impact is both impressive and terrifying. 33 00:03:24,696.91562104 --> 00:03:37,296.91562104 AI automation has led to substantial improvements in fraud detection with many banks reporting that AI driven systems have increased detection accuracy by 60% or more, and some have reduced false positives. 34 00:03:37,956.91562104 --> 00:03:42,906.91562104 The number of legitimate transactions mistakenly flagged as fraud by up to 90%. 35 00:03:43,341.91562104 --> 00:03:46,521.91562104 Greatly improving customer experience and operational efficiency. 36 00:03:47,676.91562104 --> 00:03:57,816.91562104 In lending, AI powered credit scoring allows banks to approve a higher number of borrowers by analyzing a much broader range of data than traditional systems with approval rates. 37 00:03:58,26.91562104 --> 00:04:05,316.91562104 In some studies rising by 20 to 30%, but there's a darker side to this story with fraudsters capitalizing on this tech. 38 00:04:05,706.91562104 --> 00:04:09,816.91562104 For example, deepfake scams and impersonation attacks have exploded. 39 00:04:10,206.91562104 --> 00:04:15,876.91562104 Take that shocking case in Hong Kong where fraudsters staged an entire fake video conference. 40 00:04:16,566.91562104 --> 00:04:22,476.91562104 Every single participant, including the company's CFO, was nothing more than a deep fake avatar. 41 00:04:22,986.91562104 --> 00:04:30,996.91562104 These criminals were so convincing that they managed to talk a junior employee at a into transferring a staggering $25 million. 42 00:04:31,606.91562104 --> 00:04:32,356.91562104 Scary stuff. 43 00:04:32,356.91562104 --> 00:04:36,586.91562104 Yes, but that's a whole other rabbit hole we'll dive into in a future episode. 44 00:04:37,829.50941078 --> 00:04:39,89.50941078 At Notify Technology. 45 00:04:39,119.50941078 --> 00:04:44,159.50941078 We've rolled out AI automations into our products that actually make a difference for our customers. 46 00:04:44,639.50941078 --> 00:04:49,259.50941078 Imagine safety briefings that practically write themselves after a major incident. 47 00:04:49,529.50941078 --> 00:04:57,659.50941078 AI that digs deep to uncover the real root cause of accidents and executive briefings that keep your board informed without the endless hours of prep work. 48 00:04:58,319.50941078 --> 00:05:08,639.50941078 We are weaving the smart tech into every corner of our software, not because it's trendy, but because it genuinely cuts time, boosts quality, and makes your workday flow better. 49 00:05:10,51.02152248 --> 00:05:12,331.02152248 Let me take you behind the scenes of this podcast. 50 00:05:12,691.02152248 --> 00:05:21,686.02152248 Instead of getting bogged down in the boring production tasks, I've built AI into my workflow to handle the grunt work so I can focus on what actually needs my attention. 51 00:05:22,426.02152248 --> 00:05:23,506.02152248 Here's how it works. 52 00:05:23,986.02152248 --> 00:05:28,726.02152248 I start with the most important part, choosing topics I think you'll genuinely care about. 53 00:05:29,176.02152248 --> 00:05:31,576.02152248 From there, my AI agents kick in. 54 00:05:31,906.02152248 --> 00:05:36,706.02152248 I've built little team researchers, planners, writers, marketers, all automated. 55 00:05:37,126.02152248 --> 00:05:43,576.02152248 They dig into key points, suggest structures, draft talking points, even come up with title ideas and thumbnail picks. 56 00:05:43,906.02152248 --> 00:05:45,466.02152248 But that's just the starting point. 57 00:05:45,976.02152248 --> 00:05:47,956.02152248 I still do the heavy lifting where it counts. 58 00:05:48,136.02152248 --> 00:05:50,416.02152248 Reviewing, fact checking, shaping the tone. 59 00:05:50,806.02152248 --> 00:05:54,706.02152248 And making sure it delivers real value, not just AI generated filler. 60 00:05:55,486.02152248 --> 00:06:03,646.02152248 By letting AI handle the tedious bits and keeping the human hand on the wheel, I can create something sharper, smarter, and more worth your time. 61 00:06:04,887.39572754 --> 00:06:21,402.39572754 So AI automation is making a real difference in business, but when should you reach for it instead of the traditional stuff? Here's how I like to approach it when the task is low risk, repetitive, and completely predictable, like having invoices, auto, or generated from completed jobs. 62 00:06:21,642.39572754 --> 00:06:23,592.39572754 Stick with traditional automation. 63 00:06:23,952.39572754 --> 00:06:34,752.39572754 It's fast, cheaper, reliable, and doesn't need to learn anything than leverage AI for those messy, complex situations where judgment calls and adaptability are crucial. 64 00:06:35,442.39572754 --> 00:06:37,812.39572754 Think about processes that involve natural language. 65 00:06:38,547.39572754 --> 00:06:53,547.39572754 Images are constantly changing variables like prioritizing support tickets based on urgency and sentiment, spotting safety hazards in real time using CCTV feeds, or transforming those rambling hour long meetings and clear actionable summaries. 66 00:06:54,87.39572754 --> 00:06:56,757.39572754 That's where there's potential for AI automation. 67 00:06:57,237.39572754 --> 00:06:59,502.39572754 Now, here's a critical point we can't overlook. 68 00:06:59,652.39572754 --> 00:07:06,622.39572754 Risk and impact if automating a task could cause real damage financially, legally, reputationally, proceed carefully. 69 00:07:07,632.39572754 --> 00:07:12,852.39572754 That's especially true with the eye where outcomes can be less predictable and harder to audit. 70 00:07:13,662.39572754 --> 00:07:20,262.39572754 In those cases, you need guardrails, good data, clear fallback plans, and human in the loop oversight. 71 00:07:21,102.39572754 --> 00:07:24,192.39572754 In my experience, the smartest approach is usually a hybrid one. 72 00:07:24,702.39572754 --> 00:07:31,782.39572754 Use simple tools or scripts for the routine, predictable stuff, the kind of tasks that just need to get done reliably. 73 00:07:32,442.39572754 --> 00:07:36,612.39572754 Then bring in AI for the complex messy work where context and judgment matter. 74 00:07:37,122.39572754 --> 00:07:44,592.39572754 And honestly, it's totally fine to say we don't need AI for this because the best automation isn't about using the fanciest tech. 75 00:07:45,12.39572754 --> 00:07:47,352.39572754 It's about using the right tool for the job. 76 00:07:47,772.39572754 --> 00:07:49,92.39572754 It's about being practical. 77 00:07:49,572.39572754 --> 00:07:52,992.39572754 Not everything needs ai and not everything should be automated. 78 00:07:53,472.39572754 --> 00:07:55,902.39572754 Let me talk you through the crawl, walk, run framework. 79 00:07:56,142.39572754 --> 00:07:58,992.39572754 A simple way to bring AI automation into your business. 80 00:07:59,262.39572754 --> 00:08:03,792.39572754 Without frying your team's brain or blowing your budget, it's a simple idea. 81 00:08:04,212.39572754 --> 00:08:06,732.39572754 Start small, prove value, scale smart. 82 00:08:07,302.39572754 --> 00:08:08,352.39572754 First, the crawl. 83 00:08:08,772.39572754 --> 00:08:12,672.39572754 Begin by asking your team what's one task that makes you want to scream. 84 00:08:13,212.39572754 --> 00:08:17,862.39572754 It could be reconciling reports, digging through emails, or log in incident notes. 85 00:08:18,432.39572754 --> 00:08:22,512.39572754 Find that genuine frustration, the stuff that drains time and adds zero joy. 86 00:08:23,292.39572754 --> 00:08:25,602.39572754 Now automate just one of those pain points. 87 00:08:25,632.39572754 --> 00:08:33,252.39572754 Nothing fancy, a script, a prompt, a smart form, whatever gets the job done faster, better, or with fewer mistakes. 88 00:08:33,582.39572754 --> 00:08:37,242.39572754 And don't stress about version one, just make it better than before. 89 00:08:37,632.39572754 --> 00:08:38,472.39572754 Next the walk. 90 00:08:38,892.39572754 --> 00:08:39,762.39572754 You've got momentum. 91 00:08:39,762.39572754 --> 00:08:40,332.39572754 Use it. 92 00:08:40,872.39572754 --> 00:08:42,732.39572754 Start tracking real results. 93 00:08:42,942.39572754 --> 00:08:48,687.39572754 Are you saving hours, reducing errors? Getting fewer complaints, share those wins loudly. 94 00:08:49,17.39572754 --> 00:08:50,667.39572754 Name drop the people involved. 95 00:08:50,997.39572754 --> 00:08:52,917.39572754 Nothing builds confidence like proof. 96 00:08:53,337.39572754 --> 00:08:56,37.39572754 And then the run scale intentionally. 97 00:08:56,97.39572754 --> 00:08:57,417.39572754 Don't go full Skynet. 98 00:08:57,717.39572754 --> 00:08:59,7.39572754 Keep people at the center. 99 00:08:59,277.39572754 --> 00:09:06,267.39572754 Put guardrails in place, assign owners make it sustainable and resist the urge to automate everything at once. 100 00:09:06,987.39572754 --> 00:09:09,237.39572754 Because the goal isn't to use AI everywhere. 101 00:09:09,627.39572754 --> 00:09:10,767.39572754 It's to make work better. 102 00:09:10,827.39572754 --> 00:09:11,992.39572754 One smart step at a time. 103 00:09:13,906.49988654 --> 00:09:27,16.49988654 Let's take a look at the tools out there that can get you off the ground with automation and automation's, not just for developers anymore, you don't need a team of engineers or a Silicon Valley budget to start using AI in your business. 104 00:09:27,136.49988654 --> 00:09:33,166.49988654 Tools like NA 10 Zapier and Microsoft Power Automate give you drag and drop simplicity. 105 00:09:33,646.49988654 --> 00:09:35,296.49988654 Think of them like digital duct tape. 106 00:09:35,446.49988654 --> 00:09:38,176.49988654 They connect your apps and get stuff flowing automatically. 107 00:09:38,596.49988654 --> 00:09:40,876.49988654 Now, n and N is my personal favorite. 108 00:09:40,966.49988654 --> 00:09:41,986.49988654 It's open source. 109 00:09:42,406.49988654 --> 00:09:43,816.49988654 More flexible than most. 110 00:09:44,176.49988654 --> 00:09:48,346.49988654 And once you get the hang of it, you can build things in minutes that used to take weeks. 111 00:09:48,886.49988654 --> 00:09:52,306.49988654 It's like Lego for your software stack, including AI bricks. 112 00:09:52,666.49988654 --> 00:09:55,726.49988654 Let me give you a real world example to show how powerful this can be. 113 00:09:56,236.49988654 --> 00:09:58,936.49988654 See, someone fills out your website's inquiry form. 114 00:09:59,416.49988654 --> 00:10:00,706.49988654 All you get is a name. 115 00:10:01,66.49988654 --> 00:10:07,366.49988654 An email may be a company name, not much to go on, right? But your sales team needs context. 116 00:10:07,666.49988654 --> 00:10:17,431.49988654 Who is this person? What's their role? Is this lead worth chasing? Here's where AI automation steps in the moment the form's submitted, your automation tool kicks off. 117 00:10:17,821.49988654 --> 00:10:24,451.49988654 It pings a service like Clearbit to enrich the data, pulling in job title, company size, location, and more. 118 00:10:25,141.49988654 --> 00:10:26,491.49988654 Then AI takes over. 119 00:10:26,971.49988654 --> 00:10:33,31.49988654 It summarizes the lead into a quick punchy profile and even suggests a personalized conversation starter. 120 00:10:33,631.49988654 --> 00:10:42,511.49988654 That full package form data enriched info and AI insights lands straight into your CRM or your sales team's Slack channel. 121 00:10:42,991.49988654 --> 00:10:47,671.49988654 So instead of a vague inquiry, you've got a fully contextualized lead in minutes. 122 00:10:47,911.49988654 --> 00:10:51,1.49988654 And the best part, it's not rocket science to set up. 123 00:10:51,571.49988654 --> 00:10:53,371.49988654 That's AI automation and action. 124 00:10:53,716.49988654 --> 00:10:58,336.49988654 Saving time, adding context, and helping your team focus where it counts. 125 00:10:58,876.49988654 --> 00:11:03,676.49988654 Now, if your business runs on Microsoft, definitely take a look at Power Automate. 126 00:11:03,946.49988654 --> 00:11:06,796.49988654 It's built for everyday users, not just techies. 127 00:11:07,276.49988654 --> 00:11:11,716.49988654 And if you're already using tools like Office 3, 6 5, or Azure, it fits right in. 128 00:11:12,436.49988654 --> 00:11:15,291.49988654 Everything connects naturally, like pieces of the same puzzle. 129 00:11:16,36.49988654 --> 00:11:17,836.49988654 It works a bit like N eight to N. 130 00:11:18,286.49988654 --> 00:11:21,166.49988654 You can build workflows with drag and drop simplicity. 131 00:11:21,631.49988654 --> 00:11:24,121.49988654 It's more locked into the Microsoft ecosystem. 132 00:11:24,571.49988654 --> 00:11:31,81.49988654 You lose some of the flexibility you get with open source tools, but for internal workflows, it's seriously effective. 133 00:11:31,501.49988654 --> 00:11:35,611.49988654 Plus, Microsoft is baked in AI through something called AI Builder. 134 00:11:35,971.49988654 --> 00:11:41,581.49988654 You can scan forms, extract data from PDFs, even do things like sentiment analysis. 135 00:11:42,391.49988654 --> 00:11:48,361.49988654 What's also worth noting, the ecosystems within these platforms are expanding and exploding with possibilities. 136 00:11:49,66.49988654 --> 00:11:54,286.49988654 Today, apps are deliberately designing themselves to integrate with these automation platforms. 137 00:11:54,766.49988654 --> 00:11:57,736.49988654 They're not just allowing it, they're actively encouraging it. 138 00:11:58,516.49988654 --> 00:12:03,826.49988654 Look at powerhouse tools like Notion, Airtable, HubSpot, Typeform, and Stripe. 139 00:12:04,216.49988654 --> 00:12:11,626.49988654 They're all opening up their systems through APIs and ready-made integrations that you can configure with just a few clicks. 140 00:12:11,836.49988654 --> 00:12:15,436.49988654 This means your automation potential isn't confined to your existing tech stack. 141 00:12:15,901.49988654 --> 00:12:19,81.49988654 It can seamlessly flow across your entire digital ecosystem. 142 00:12:19,531.49988654 --> 00:12:22,111.49988654 Even the newest AI solutions are jumping on board. 143 00:12:22,471.49988654 --> 00:12:26,491.49988654 Many now ship with built-in N eight N or Zapier compatibility. 144 00:12:27,61.49988654 --> 00:12:33,121.49988654 So when you're selecting your tools and crafting your AI automations, prioritize those that collaborate well with others. 145 00:12:34,246.49988654 --> 00:12:43,516.49988654 Because the real breakthrough happens when your applications communicate effectively with AI, serving as the intelligent mediator, helping them make smarter decisions together. 146 00:12:44,639.35515594 --> 00:12:47,519.35515594 Let's wrap it up when we cut through all the noise. 147 00:12:47,819.35515594 --> 00:12:50,579.35515594 AI automation isn't just another shiny tech trend. 148 00:12:50,909.35515594 --> 00:12:55,139.35515594 It's a practical tool that can genuinely transform your day-to-day operations. 149 00:12:55,859.35515594 --> 00:12:58,889.35515594 You don't need a degree or massive budget to get started. 150 00:12:59,249.35515594 --> 00:13:01,49.35515594 The barrier to entry has never been lower. 151 00:13:01,394.35515594 --> 00:13:08,984.35515594 With straightforward tools and a focus on solving real problems, anyone can deploy AI solutions that deliver tangible results. 152 00:13:09,374.35515594 --> 00:13:11,534.35515594 The key is to begin with something manageable. 153 00:13:11,894.35515594 --> 00:13:17,564.35515594 Target genuine pain points in your workflow, carefully track your outcomes and expand methodically. 154 00:13:18,284.35515594 --> 00:13:23,114.35515594 That's the difference between getting caught up in AI hype and achieving concrete business improvements. 155 00:13:23,564.35515594 --> 00:13:27,74.35515594 Before we sign off, I'd love to challenge you with a quick action to try. 156 00:13:27,464.35515594 --> 00:13:29,684.35515594 Pick one task you wish would do itself. 157 00:13:30,179.35515594 --> 00:13:32,309.35515594 Discuss with a colleague about automating it. 158 00:13:32,639.35515594 --> 00:13:36,449.35515594 Then sketch out a simple workflow using one of the tools we've mentioned. 159 00:13:36,959.35515594 --> 00:13:45,89.35515594 Perhaps ask Chat GPT to map out the steps for you to build this and give you options even if you don't implement it right away. 160 00:13:45,449.35515594 --> 00:13:50,159.35515594 This exercise will train your brain to spot automation opportunities everywhere. 161 00:13:50,669.35515594 --> 00:13:55,979.35515594 Please share your AI wins or frustrations with me at hello@theaibreakdown.com. 162 00:13:56,414.35515594 --> 00:13:59,474.35515594 Send us a top story and we might feature it next episode. 163 00:13:59,864.35515594 --> 00:14:07,64.35515594 And if you found this useful, subscribe and send the short to someone who needs practical AI automation advice for their business. 164 00:14:07,574.35515594 --> 00:14:09,404.35515594 Thanks for listening to the AI breakdown.
Hi everyone, and welcome back to the AI breakdown, your deep dive into how AI is shaping work life and everything in between.
(00:07):
I'm Andy, and in today's episode, we explore AI automation, what it is, how it's different from the automation we've used for years, and how can businesses practically put it to use.
I'll also peek into the real AI automation we're implementing at Notify Technology.
And take you behind the scenes of how I use AI to streamline the production of this very podcast.
(00:31):
So let's dive in and break it down. 6 00:00:40,63.043217481 --> 00:00:41,323.043217481 Automation isn't new. 7 00:00:41,473.043217481 --> 00:00:44,233.043217481 It's been quietly powering our businesses for decades. 8 00:00:44,623.043217481 --> 00:00:56,563.043217481 It's those invisible systems humming in the background, moving data between platforms, firing off confirmation emails when you submit a form or handling those monthly billing cycles without anyone lifting a finger. 9 00:00:56,923.043217481 --> 00:00:59,893.043217481 Useful, absolutely, but let's be honest. 10 00:01:00,223.043217481 --> 00:01:06,733.043217481 It's predictable, rigid, and limited like a robot that can only follow the exact instructions you've programmed. 11 00:01:07,483.043217481 --> 00:01:12,913.043217481 Think about a traditional email filter that organizes your messages based on predefined rules. 12 00:01:13,243.043217481 --> 00:01:26,263.043217481 It follows the same criteria every time, but what happens when you receive an urgent message from a new client that doesn't match your predefined rules or when important project updates get buried because they don't contain your usual keywords. 13 00:01:26,983.043217481 --> 00:01:30,313.043217481 Traditional automation can't handle these nuanced scenarios. 14 00:01:30,673.043217481 --> 00:01:32,833.043217481 It lacks intelligence and adaptability. 15 00:01:33,553.043217481 --> 00:01:36,733.043217481 AI automation, on the other hand, flips the script entirely. 16 00:01:37,363.043217481 --> 00:01:45,313.04321748 Imagine an AI powered email filter that tracks your habits and starts promoting emails that are truly important and urgent. 17 00:01:45,763.04321748 --> 00:01:49,273.04321748 Elevating these to the top for your immediate attention automatically. 18 00:01:49,888.04321748 --> 00:01:54,478.04321748 This isn't just automation, it's the natural evolution of how our systems should work. 19 00:01:54,808.04321748 --> 00:01:57,418.04321748 Traditional automation follows static rules. 20 00:01:57,808.04321748 --> 00:02:06,28.04321748 AI automation learns and adapts where the system molds itself to you and your environment becoming smarter with every interaction. 21 00:02:06,688.04321748 --> 00:02:07,408.04321748 For your business. 22 00:02:07,408.04321748 --> 00:02:10,48.04321748 This means AI can handle nuance and context. 23 00:02:10,408.04321748 --> 00:02:12,688.04321748 It learns what matters to your specific operation. 24 00:02:13,108.04321748 --> 00:02:17,128.04321748 Discards I relevant noise and flags, genuine anomalies that need attention. 25 00:02:18,591.91562104 --> 00:02:26,31.91562104 Now let's bridge theory and reality and explore some examples of where AI automation is actually transforming businesses today. 26 00:02:27,126.91562104 --> 00:02:39,516.91562104 In hr, MasterCard transformed their recruitment process using AI automation slash in interview scheduling time by whopping 85% and expanding their candidate pool by 900%. 27 00:02:39,996.91562104 --> 00:02:46,986.91562104 Their recruiters now spend their time finding the perfect person for the job, rather than wrestling with calendars and drowning in admin. 28 00:02:47,676.91562104 --> 00:03:00,366.91562104 Top Denmark, a Danish insurance company transformed their customer service, particularly in areas like travel and car insurance with digital assistance that now handle a whopping 80% of routine queries. 29 00:03:00,816.91562104 --> 00:03:06,816.91562104 What's fascinating is that their staff now focus on solving complex issues that actually need human touch. 30 00:03:07,146.91562104 --> 00:03:13,281.91562104 They've even created specialized bot trainer roles where employees actively improve the AI's capabilities. 31 00:03:13,986.91562104 --> 00:03:20,256.91562104 This isn't about replacing people, it's about elevating what they do, freeing them from the mundane to tackle the meaningful. 32 00:03:20,916.91562104 --> 00:03:24,96.91562104 In finance, the impact is both impressive and terrifying. 33 00:03:24,696.91562104 --> 00:03:37,296.91562104 AI automation has led to substantial improvements in fraud detection with many banks reporting that AI driven systems have increased detection accuracy by 60% or more, and some have reduced false positives. 34 00:03:37,956.91562104 --> 00:03:42,906.91562104 The number of legitimate transactions mistakenly flagged as fraud by up to 90%. 35 00:03:43,341.91562104 --> 00:03:46,521.91562104 Greatly improving customer experience and operational efficiency. 36 00:03:47,676.91562104 --> 00:03:57,816.91562104 In lending, AI powered credit scoring allows banks to approve a higher number of borrowers by analyzing a much broader range of data than traditional systems with approval rates. 37 00:03:58,26.91562104 --> 00:04:05,316.91562104 In some studies rising by 20 to 30%, but there's a darker side to this story with fraudsters capitalizing on this tech. 38 00:04:05,706.91562104 --> 00:04:09,816.91562104 For example, deepfake scams and impersonation attacks have exploded. 39 00:04:10,206.91562104 --> 00:04:15,876.91562104 Take that shocking case in Hong Kong where fraudsters staged an entire fake video conference. 40 00:04:16,566.91562104 --> 00:04:22,476.91562104 Every single participant, including the company's CFO, was nothing more than a deep fake avatar. 41 00:04:22,986.91562104 --> 00:04:30,996.91562104 These criminals were so convincing that they managed to talk a junior employee at a into transferring a staggering $25 million. 42 00:04:31,606.91562104 --> 00:04:32,356.91562104 Scary stuff. 43 00:04:32,356.91562104 --> 00:04:36,586.91562104 Yes, but that's a whole other rabbit hole we'll dive into in a future episode. 44 00:04:37,829.50941078 --> 00:04:39,89.50941078 At Notify Technology. 45 00:04:39,119.50941078 --> 00:04:44,159.50941078 We've rolled out AI automations into our products that actually make a difference for our customers. 46 00:04:44,639.50941078 --> 00:04:49,259.50941078 Imagine safety briefings that practically write themselves after a major incident. 47 00:04:49,529.50941078 --> 00:04:57,659.50941078 AI that digs deep to uncover the real root cause of accidents and executive briefings that keep your board informed without the endless hours of prep work. 48 00:04:58,319.50941078 --> 00:05:08,639.50941078 We are weaving the smart tech into every corner of our software, not because it's trendy, but because it genuinely cuts time, boosts quality, and makes your workday flow better. 49 00:05:10,51.02152248 --> 00:05:12,331.02152248 Let me take you behind the scenes of this podcast. 50 00:05:12,691.02152248 --> 00:05:21,686.02152248 Instead of getting bogged down in the boring production tasks, I've built AI into my workflow to handle the grunt work so I can focus on what actually needs my attention. 51 00:05:22,426.02152248 --> 00:05:23,506.02152248 Here's how it works. 52 00:05:23,986.02152248 --> 00:05:28,726.02152248 I start with the most important part, choosing topics I think you'll genuinely care about. 53 00:05:29,176.02152248 --> 00:05:31,576.02152248 From there, my AI agents kick in. 54 00:05:31,906.02152248 --> 00:05:36,706.02152248 I've built little team researchers, planners, writers, marketers, all automated. 55 00:05:37,126.02152248 --> 00:05:43,576.02152248 They dig into key points, suggest structures, draft talking points, even come up with title ideas and thumbnail picks. 56 00:05:43,906.02152248 --> 00:05:45,466.02152248 But that's just the starting point. 57 00:05:45,976.02152248 --> 00:05:47,956.02152248 I still do the heavy lifting where it counts. 58 00:05:48,136.02152248 --> 00:05:50,416.02152248 Reviewing, fact checking, shaping the tone. 59 00:05:50,806.02152248 --> 00:05:54,706.02152248 And making sure it delivers real value, not just AI generated filler. 60 00:05:55,486.02152248 --> 00:06:03,646.02152248 By letting AI handle the tedious bits and keeping the human hand on the wheel, I can create something sharper, smarter, and more worth your time. 61 00:06:04,887.39572754 --> 00:06:21,402.39572754 So AI automation is making a real difference in business, but when should you reach for it instead of the traditional stuff? Here's how I like to approach it when the task is low risk, repetitive, and completely predictable, like having invoices, auto, or generated from completed jobs. 62 00:06:21,642.39572754 --> 00:06:23,592.39572754 Stick with traditional automation. 63 00:06:23,952.39572754 --> 00:06:34,752.39572754 It's fast, cheaper, reliable, and doesn't need to learn anything than leverage AI for those messy, complex situations where judgment calls and adaptability are crucial. 64 00:06:35,442.39572754 --> 00:06:37,812.39572754 Think about processes that involve natural language. 65 00:06:38,547.39572754 --> 00:06:53,547.39572754 Images are constantly changing variables like prioritizing support tickets based on urgency and sentiment, spotting safety hazards in real time using CCTV feeds, or transforming those rambling hour long meetings and clear actionable summaries. 66 00:06:54,87.39572754 --> 00:06:56,757.39572754 That's where there's potential for AI automation. 67 00:06:57,237.39572754 --> 00:06:59,502.39572754 Now, here's a critical point we can't overlook. 68 00:06:59,652.39572754 --> 00:07:06,622.39572754 Risk and impact if automating a task could cause real damage financially, legally, reputationally, proceed carefully. 69 00:07:07,632.39572754 --> 00:07:12,852.39572754 That's especially true with the eye where outcomes can be less predictable and harder to audit. 70 00:07:13,662.39572754 --> 00:07:20,262.39572754 In those cases, you need guardrails, good data, clear fallback plans, and human in the loop oversight. 71 00:07:21,102.39572754 --> 00:07:24,192.39572754 In my experience, the smartest approach is usually a hybrid one. 72 00:07:24,702.39572754 --> 00:07:31,782.39572754 Use simple tools or scripts for the routine, predictable stuff, the kind of tasks that just need to get done reliably. 73 00:07:32,442.39572754 --> 00:07:36,612.39572754 Then bring in AI for the complex messy work where context and judgment matter. 74 00:07:37,122.39572754 --> 00:07:44,592.39572754 And honestly, it's totally fine to say we don't need AI for this because the best automation isn't about using the fanciest tech. 75 00:07:45,12.39572754 --> 00:07:47,352.39572754 It's about using the right tool for the job. 76 00:07:47,772.39572754 --> 00:07:49,92.39572754 It's about being practical. 77 00:07:49,572.39572754 --> 00:07:52,992.39572754 Not everything needs ai and not everything should be automated. 78 00:07:53,472.39572754 --> 00:07:55,902.39572754 Let me talk you through the crawl, walk, run framework. 79 00:07:56,142.39572754 --> 00:07:58,992.39572754 A simple way to bring AI automation into your business. 80 00:07:59,262.39572754 --> 00:08:03,792.39572754 Without frying your team's brain or blowing your budget, it's a simple idea. 81 00:08:04,212.39572754 --> 00:08:06,732.39572754 Start small, prove value, scale smart. 82 00:08:07,302.39572754 --> 00:08:08,352.39572754 First, the crawl. 83 00:08:08,772.39572754 --> 00:08:12,672.39572754 Begin by asking your team what's one task that makes you want to scream. 84 00:08:13,212.39572754 --> 00:08:17,862.39572754 It could be reconciling reports, digging through emails, or log in incident notes. 85 00:08:18,432.39572754 --> 00:08:22,512.39572754 Find that genuine frustration, the stuff that drains time and adds zero joy. 86 00:08:23,292.39572754 --> 00:08:25,602.39572754 Now automate just one of those pain points. 87 00:08:25,632.39572754 --> 00:08:33,252.39572754 Nothing fancy, a script, a prompt, a smart form, whatever gets the job done faster, better, or with fewer mistakes. 88 00:08:33,582.39572754 --> 00:08:37,242.39572754 And don't stress about version one, just make it better than before. 89 00:08:37,632.39572754 --> 00:08:38,472.39572754 Next the walk. 90 00:08:38,892.39572754 --> 00:08:39,762.39572754 You've got momentum. 91 00:08:39,762.39572754 --> 00:08:40,332.39572754 Use it. 92 00:08:40,872.39572754 --> 00:08:42,732.39572754 Start tracking real results. 93 00:08:42,942.39572754 --> 00:08:48,687.39572754 Are you saving hours, reducing errors? Getting fewer complaints, share those wins loudly. 94 00:08:49,17.39572754 --> 00:08:50,667.39572754 Name drop the people involved. 95 00:08:50,997.39572754 --> 00:08:52,917.39572754 Nothing builds confidence like proof. 96 00:08:53,337.39572754 --> 00:08:56,37.39572754 And then the run scale intentionally. 97 00:08:56,97.39572754 --> 00:08:57,417.39572754 Don't go full Skynet. 98 00:08:57,717.39572754 --> 00:08:59,7.39572754 Keep people at the center. 99 00:08:59,277.39572754 --> 00:09:06,267.39572754 Put guardrails in place, assign owners make it sustainable and resist the urge to automate everything at once. 100 00:09:06,987.39572754 --> 00:09:09,237.39572754 Because the goal isn't to use AI everywhere. 101 00:09:09,627.39572754 --> 00:09:10,767.39572754 It's to make work better. 102 00:09:10,827.39572754 --> 00:09:11,992.39572754 One smart step at a time. 103 00:09:13,906.49988654 --> 00:09:27,16.49988654 Let's take a look at the tools out there that can get you off the ground with automation and automation's, not just for developers anymore, you don't need a team of engineers or a Silicon Valley budget to start using AI in your business. 104 00:09:27,136.49988654 --> 00:09:33,166.49988654 Tools like NA 10 Zapier and Microsoft Power Automate give you drag and drop simplicity. 105 00:09:33,646.49988654 --> 00:09:35,296.49988654 Think of them like digital duct tape. 106 00:09:35,446.49988654 --> 00:09:38,176.49988654 They connect your apps and get stuff flowing automatically. 107 00:09:38,596.49988654 --> 00:09:40,876.49988654 Now, n and N is my personal favorite. 108 00:09:40,966.49988654 --> 00:09:41,986.49988654 It's open source. 109 00:09:42,406.49988654 --> 00:09:43,816.49988654 More flexible than most. 110 00:09:44,176.49988654 --> 00:09:48,346.49988654 And once you get the hang of it, you can build things in minutes that used to take weeks. 111 00:09:48,886.49988654 --> 00:09:52,306.49988654 It's like Lego for your software stack, including AI bricks. 112 00:09:52,666.49988654 --> 00:09:55,726.49988654 Let me give you a real world example to show how powerful this can be. 113 00:09:56,236.49988654 --> 00:09:58,936.49988654 See, someone fills out your website's inquiry form. 114 00:09:59,416.49988654 --> 00:10:00,706.49988654 All you get is a name. 115 00:10:01,66.49988654 --> 00:10:07,366.49988654 An email may be a company name, not much to go on, right? But your sales team needs context. 116 00:10:07,666.49988654 --> 00:10:17,431.49988654 Who is this person? What's their role? Is this lead worth chasing? Here's where AI automation steps in the moment the form's submitted, your automation tool kicks off. 117 00:10:17,821.49988654 --> 00:10:24,451.49988654 It pings a service like Clearbit to enrich the data, pulling in job title, company size, location, and more. 118 00:10:25,141.49988654 --> 00:10:26,491.49988654 Then AI takes over. 119 00:10:26,971.49988654 --> 00:10:33,31.49988654 It summarizes the lead into a quick punchy profile and even suggests a personalized conversation starter. 120 00:10:33,631.49988654 --> 00:10:42,511.49988654 That full package form data enriched info and AI insights lands straight into your CRM or your sales team's Slack channel. 121 00:10:42,991.49988654 --> 00:10:47,671.49988654 So instead of a vague inquiry, you've got a fully contextualized lead in minutes. 122 00:10:47,911.49988654 --> 00:10:51,1.49988654 And the best part, it's not rocket science to set up. 123 00:10:51,571.49988654 --> 00:10:53,371.49988654 That's AI automation and action. 124 00:10:53,716.49988654 --> 00:10:58,336.49988654 Saving time, adding context, and helping your team focus where it counts. 125 00:10:58,876.49988654 --> 00:11:03,676.49988654 Now, if your business runs on Microsoft, definitely take a look at Power Automate. 126 00:11:03,946.49988654 --> 00:11:06,796.49988654 It's built for everyday users, not just techies. 127 00:11:07,276.49988654 --> 00:11:11,716.49988654 And if you're already using tools like Office 3, 6 5, or Azure, it fits right in. 128 00:11:12,436.49988654 --> 00:11:15,291.49988654 Everything connects naturally, like pieces of the same puzzle. 129 00:11:16,36.49988654 --> 00:11:17,836.49988654 It works a bit like N eight to N. 130 00:11:18,286.49988654 --> 00:11:21,166.49988654 You can build workflows with drag and drop simplicity. 131 00:11:21,631.49988654 --> 00:11:24,121.49988654 It's more locked into the Microsoft ecosystem. 132 00:11:24,571.49988654 --> 00:11:31,81.49988654 You lose some of the flexibility you get with open source tools, but for internal workflows, it's seriously effective. 133 00:11:31,501.49988654 --> 00:11:35,611.49988654 Plus, Microsoft is baked in AI through something called AI Builder. 134 00:11:35,971.49988654 --> 00:11:41,581.49988654 You can scan forms, extract data from PDFs, even do things like sentiment analysis. 135 00:11:42,391.49988654 --> 00:11:48,361.49988654 What's also worth noting, the ecosystems within these platforms are expanding and exploding with possibilities. 136 00:11:49,66.49988654 --> 00:11:54,286.49988654 Today, apps are deliberately designing themselves to integrate with these automation platforms. 137 00:11:54,766.49988654 --> 00:11:57,736.49988654 They're not just allowing it, they're actively encouraging it. 138 00:11:58,516.49988654 --> 00:12:03,826.49988654 Look at powerhouse tools like Notion, Airtable, HubSpot, Typeform, and Stripe. 139 00:12:04,216.49988654 --> 00:12:11,626.49988654 They're all opening up their systems through APIs and ready-made integrations that you can configure with just a few clicks. 140 00:12:11,836.49988654 --> 00:12:15,436.49988654 This means your automation potential isn't confined to your existing tech stack. 141 00:12:15,901.49988654 --> 00:12:19,81.49988654 It can seamlessly flow across your entire digital ecosystem. 142 00:12:19,531.49988654 --> 00:12:22,111.49988654 Even the newest AI solutions are jumping on board. 143 00:12:22,471.49988654 --> 00:12:26,491.49988654 Many now ship with built-in N eight N or Zapier compatibility. 144 00:12:27,61.49988654 --> 00:12:33,121.49988654 So when you're selecting your tools and crafting your AI automations, prioritize those that collaborate well with others. 145 00:12:34,246.49988654 --> 00:12:43,516.49988654 Because the real breakthrough happens when your applications communicate effectively with AI, serving as the intelligent mediator, helping them make smarter decisions together. 146 00:12:44,639.35515594 --> 00:12:47,519.35515594 Let's wrap it up when we cut through all the noise. 147 00:12:47,819.35515594 --> 00:12:50,579.35515594 AI automation isn't just another shiny tech trend. 148 00:12:50,909.35515594 --> 00:12:55,139.35515594 It's a practical tool that can genuinely transform your day-to-day operations. 149 00:12:55,859.35515594 --> 00:12:58,889.35515594 You don't need a degree or massive budget to get started. 150 00:12:59,249.35515594 --> 00:13:01,49.35515594 The barrier to entry has never been lower. 151 00:13:01,394.35515594 --> 00:13:08,984.35515594 With straightforward tools and a focus on solving real problems, anyone can deploy AI solutions that deliver tangible results. 152 00:13:09,374.35515594 --> 00:13:11,534.35515594 The key is to begin with something manageable. 153 00:13:11,894.35515594 --> 00:13:17,564.35515594 Target genuine pain points in your workflow, carefully track your outcomes and expand methodically. 154 00:13:18,284.35515594 --> 00:13:23,114.35515594 That's the difference between getting caught up in AI hype and achieving concrete business improvements. 155 00:13:23,564.35515594 --> 00:13:27,74.35515594 Before we sign off, I'd love to challenge you with a quick action to try. 156 00:13:27,464.35515594 --> 00:13:29,684.35515594 Pick one task you wish would do itself. 157 00:13:30,179.35515594 --> 00:13:32,309.35515594 Discuss with a colleague about automating it. 158 00:13:32,639.35515594 --> 00:13:36,449.35515594 Then sketch out a simple workflow using one of the tools we've mentioned. 159 00:13:36,959.35515594 --> 00:13:45,89.35515594 Perhaps ask Chat GPT to map out the steps for you to build this and give you options even if you don't implement it right away. 160 00:13:45,449.35515594 --> 00:13:50,159.35515594 This exercise will train your brain to spot automation opportunities everywhere. 161 00:13:50,669.35515594 --> 00:13:55,979.35515594 Please share your AI wins or frustrations with me at hello@theaibreakdown.com. 162 00:13:56,414.35515594 --> 00:13:59,474.35515594 Send us a top story and we might feature it next episode. 163 00:13:59,864.35515594 --> 00:14:07,64.35515594 And if you found this useful, subscribe and send the short to someone who needs practical AI automation advice for their business. 164 00:14:07,574.35515594 --> 00:14:09,404.35515594 Thanks for listening to the AI breakdown.
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