124 – What AI Can, and Can’t, Do for Non-Profits with Susan Diaz

Episode Transcription

David Pisarek: It’s really easy to feel overwhelmed by all the AI buzz. I’ve got Susan Diaz here to cut through the noise and show you how non-profits can actually utilize AI to simplify marketing, save time, and grow their impact, all without losing the human touch. So stay tuned for this episode, and let’s make AI work for your mission, not against it.

Welcome to the Non-profit Digital Success podcast. I’m your host, David. In this episode, we’re going to be talking about all things around AI, your mindset, marketing strategy, and scaling your impact. I’ve got Susan Diaz here with me. Susan is the founder and CEO of Peaceful AI Marketing, where she helps small business founders and leaders re-imagine what’s possible through AI, even aiming for a hundred-times scale factor.

She’s an experienced speaker, trainer, and podcast host, and is well known for simplifying AI. She’s also the author of ‘UNboring: Take your Content Marketing from Blah to Brilliant.‘ And her podcast is the AI Literacy for entrepreneurs. Susan, thank you for taking the time to join us today.

Susan Diaz: I love it. Thank you, David. I can’t wait to chat.

David Pisarek: Yeah, I’ve been looking forward to this since we connected a few weeks ago, and we’re like, ‘All right, let’s do this.’ For anyone interested, Susan and I spoke at the Digital Marketing Conference in Toronto last year and this year, and so many great thoughts. Obviously, there is a lot of talk about AI in the marketing space.

Susan Diaz: It was like the roster was almost maybe 70% AI-focused.

David Pisarek: AI has been around for a number of years. I know we’ve been using it here at Wow Digital for probably about four and a half years or so, really, before ChatGPT became mainstream and all of that. I think with non-profits and staff of non-profits here, AI, they think, ‘We don’t have the budget or the team or the time to deal with this thing. We’re busy putting out this fire and that fire and dealing with all of that.’

Can you talk about why AI is actually more accessible to small and mid-size organizations than they might think?

Susan Diaz: I love that question. I want to double-click on what you said there, which is that you’ve been using AI from before the craze, before the OpenAI craze. When you say that, people are surprised sometimes. I’ve been called out on it on LinkedIn. We’re like, ‘Oh, yeah, you were doing AI before it was invented.’ I was like, ‘All right, stupid fella, you do not know that AI was invented in 1955, right?’ There are various versions of it that have existed.

The caveat is that it wasn’t very good, nor was it accessible, as you’re saying. It was just maybe, as marketers, we just do tend to get access to some of this early. We understand the tools, the lay of the tech land, and that thing. What’s happened with generative AI, specifically, and OpenAI sort of bringing it to the front. While they invented that technology, everyone else has been quick to follow. They’ve moved the market forward. The goal of this thing is, as altruistic as it sounds, the improvement of all mankind. That is why this intelligence has been created. That is why a company like OpenAI started out being a non-profit. 

It was supposed to be: accelerate this technology, find the deep pockets to help you accelerate it as quickly as possible, and then make it available to all people. They did that.

Then they discovered that if they acted like a software company, there were billions to be made. There’s been some departures, which is cause for concern. But let’s focus on the positive side, which is your question, which is why it is more accessible to us? It’s that reason, because it’s been simplified to a level where the entry point is lowered. I don’t love this phrasing, but it’s democratized it to some extent for everyone.

For what it’s worked, tools like ChatGPT are accessible in a pretty robust form for free. You don’t even need to really… Obviously, that comes with security concerns. If you’re an organization, there are things to think about. But more than anything else, I think for small businesses and non-profits, it’s that agility piece. You are more agile than large, clunky corporations. You have smaller steps and rule books, although maybe in the non-profit space, there are a lot of rule books. Overall, I think that barrier to entry is, if not, lower. If not gone, then lowered deeply.

I think that is going to last for a while because not everyone moves at the same speed. Even if you’re entering today, you’re still going to be at an advantage because it’s going to take 5-10 years before everyone’s on there. That’s what I’m thinking.

David Pisarek: At risk of setting off multiple devices that I have in front of me on my desk here, AI is really advanced programming. That’s what it is. Siri, Alexa, Google, and I’ve just activated some stuff on my desktop. I’ve got the light up here. They’ve been around for, I don’t know, 8, 9, or 10 years.

Essentially, that’s AI. It’s programming, thinking about what you’re saying, interpreting it, analyzing it, looking up whatever it needs to from a database, coming back and then giving you the information. That’s a really grossly oversimplified version of AI, but that’s basically what it is. It’s a mechanism to allow for programming languages to gather information and give it back to you in a way that’s what you want.

AI, don’t think of it as this ridiculously gigantic, complicated thing. Although it is, the way that we can use it can be in different ways. One of the things that I love using AI for, my team loves using it for, is brainstorming. ‘Hey, we have this problem. Come up with some options for us to think about and to work through. Or here’s a whole bunch of data. Analyze the data and give me a chart.’

We can help it move things through and make our lives easier. I use it very often for spreadsheet formulas. I have this data, this data, this data. These are the cells. Help me create a script that does X, Y, Z, and it does it. Sometimes it works really well right off the bat, and sometimes, more often than not, we need to tweak it a little bit.

I think the bar is low for the entry for anybody to start playing with it. Perplexity is free. ChatGPT is available for free. I think Gemini, too. You’ve got all these platforms that you can use. I think it’s important for people to maybe carve some time out, go, ‘Okay, this Friday afternoon, instead of doing this, I’m going to do 15 minutes of playing with an AI platform.’ The only thing I would suggest is that you scrub your data before you put anything in there. If you want to build a chart of donor information and have it go, ‘Okay, when you upload the last 12 months, what are the three spikes of the year when we get the most donations?’ I think you probably know, like Giving Tuesday and end-of-year giving, that thing.

Take the donor information out of it. Just have dates and amounts, for example, so that way there’s no information going into there that could leak, that could cause some problem.

What are your thoughts, Susan?

Susan Diaz: I think you’re describing it perfectly. It’s just taking a whole lot of mental load off of you.

I like to reference this back to think of when the calculator was invented or when the computer itself was invented. It took a moment. It’s a huge mindset shift. You anchored this in mindset when we started the episode. It’s a mindset shift. It took a long time. Talk about education, for example. It took a long time. I’m dating myself, Gen X. I had to take tests in math where calculators were not allowed. Then it took a really long while before educators started to recognize the value of the fact that the mind is being put to a bigger task when you take away the small addition and subtraction tasks. That’s what we have in front of us right now.

As humans, we’ve defined ourselves as this is the knowledge economy for a really long time, which meant that all of the stuff came from your head and it was made into 3D. That’s how people made money, made progress, and had major success. Now that’s being called a question. Is that the only way that humans can contribute? I don’t think so. I mean, there is a higher purpose. We can raise ourselves in thinking a bit.

A lot of what you’re describing is stuff that would take up the best energy and the best hours of our day. Even as simple as you talked about Excel, a simple thing. Sometimes I’ll find we’ll get lists, and lists will be in a format that is wrong. What shall I say? Without going into giving away all of the information, if you have a first name and a last name or somebody who’s entered first name, last name, all in the same place. And then you want to just fix that. You either had to have someone junior do it or you had to spend time doing it, and you had to just manually fix each of those deals. That is not a problem you have anymore. If you have security concerns and stuff, stay within your environment.

For example, if you’re working in the G Suite or Google, most people tend to have Google Mail, or they use the Microsoft Suite. And so, each of those has questionable ethics, but each is packaged in the AI and charges you more. So you have access to it by default, the paid version. So, whether it’s Gemini for Google or Copilot for Microsoft, within those, when you put this in and say, ‘Give it to me in the format first name, last name,’ it’s done in four seconds, David. And can you imagine the headspace that’s being saved? Now, instead of filling that up with more busy work, the challenge at hand is to ask, ‘How are we going to change? How are we going to solve big, hairy problems?’ It’s like, how are we going to… There’s a content marketer called Ann Handly, who you might know, and she talks. She’s written a book called ‘Everybody Writes,’ and she talks about how we’re using ChatGPT to write 500-word blog posts when we could be using this to solve world hunger.

The call in front of us is to just rise to that challenge, I think. Taking all of this busy work off our plates, the only way we’ll know how to do it is if we keep talking about it. It’s a podcast like yours. Big job on highlighting these things. I have a podcast that’s about AI. I try to talk to as many people on their podcast as possible so that we can just… People don’t know if you got a new device, and you don’t know what to do with it until you start learning. In the tech world, it’s called use cases. In the real world, it’s like, tell me how to do it. Yeah.

David Pisarek: When I started working at the college in 2000, I took over from a company that was providing digital web services. One of the things that we had to do was scrub this data from the continuing education database and bring it into the website so it would be available online. I figured out the process. I eventually wrote my own SOP so I can figure out, all right, these are the steps I need to take. But every, I think it was three months, I needed to go through this process again, and looking back at what I was doing then, it would maybe take me 20 minutes, a half hour once I figured out all of that.

AI could have just done it in maybe 10 seconds with a quick script, right? Copy, paste, upload the file, export, done, upload into the site. All is good. Probably do some stuff with automations now to be able to do all of that. The software is out there. We just have to figure out the right way of applying it.

Do you have any thoughts on practical ways AI could be used in non-profits to help them get started?

Susan Diaz: There are a couple of things to think about.

One, from a real-world perspective, I think you need to take a bit of an audit of what it is that fills your days and do that, and if you haven’t done that recently, then do that consistently over two weeks, and then be sure to fill in all the little things that you don’t think about. Sometimes we’re like, ‘Oh, here’s my calendar, and here are the meetings, and so this is what I did.’ Well, probably not. Probably you’re recording here. Perhaps there’s another 15 minutes of making notes, briefing someone, passing along files, and uploading and downloading. Stuff takes time.

Just recording all of that in some way, and then take out any details you need to and then upload it into LLM like ChatGPT, or Claude, or Gemini, whatever your choice is, and ask it to analyze and point out to you where the areas for opportunity are. So I’m getting a bit meta here and saying, use AI to help you use AI. You pick up what I’m putting down. Because that’s the highest form of use, it’s just this assumption that we need to know everything or we need to know how to learn everything perfectly is inaccurate.

Just going in there and saying, ‘Okay, so here’s the days and here’s what they look like.’ And so maybe you uncovered three pockets, and I’m willing to bet that reporting is in one of those pockets somewhere where you spend time providing reports to whoever you need to, whatever that looks like for your project. And that thing, I would start there.

I would start putting together the details that you need to, and then taking out the… Scrubbing the data and then asking it to help you with putting together the report. Because those things, I’m sure they take a lot of time. It’s not necessarily the highest quality brainpower. It’s more about pulling together data points. That stuff is what you would call an easy start or low-hanging fruit for a non-profit.

David Pisarek: I’m going to put my coaching and mentoring hat on for a moment here. For anybody that doesn’t know, I do mentoring and coaching. If you need help or support, please don’t hesitate to reach out.

I love that you said, track what you’re doing over a two-week period, because that’s exactly what I say. I do this every 6-8 months. I’m probably due to do it again, but I keep a notepad on my desk with a pen that never leaves it. And as I work through things over the course of a day, I write down high-level what I’m doing. I’m emailing clients, I’m dealing with vendors, I’m booking, I’m on a podcast, I’m doing email, I’m solving some technical database, blah, blah, blah, whatever it happens to be, just high-level. At the end of two weeks, I review the list and identify what I love doing, what I like doing, what I hate doing, and what I don’t want to do at all.

The ‘what I hate doing’ and ‘what I don’t want to do,’ those are the first things that come off my list. If you’re taking these points and you’re throwing them into ChatGPT, or Gemini, or whatever it is that you’re using, and you say, ‘These are the things I like doing. These are the things I don’t want to do anymore. How can I get out of them?’ You can use it to help you plan your exit strategy from some of these things. It’s likely delegation or hiring or even reviewing if you need to do the thing that you’re doing, because you might not need to. You might think you need to. Maybe you don’t need to at all. These platforms can help you through that.

Susan Diaz: Yeah. How unusual is that? As consultants and coaches and mentors, we understand that access to that solidifying of thinking has cost thousands of dollars in the past. I’m not saying that this is going to end coaches and consultants, and all the people like the headlines. It’s not going through. It’s just, again, going to help them deliver their service to you in a way that doesn’t require holding your hand while you figure out the basics, which is what we’ve done before. I think, yeah, 100%.

David Pisarek: Another thing I would encourage folks to think about is, what’s the thing that you keep doing over and over and over? Is there a way that you can leverage AI to help you with that? Instead of spending an hour a week or an hour a month on it, maybe you can get it to 15 minutes.

Maybe you’re not totally eliminating working on it or thinking about it or whatever. But if you’re doing the same thing over and over, there’s got to be a way to automate it or to get platforms involved to help save you that bit of time so that you can then focus on what’s going to help drive your mission forward, whether it’s doing donor outreach, marketing communications, or just dealing with whatever other fires that you’ve got going on.

Because that’s really how I see AI, is a way to free up time so you can focus on the things that you actually really want to focus on.

Susan Diaz: I agree.

Hopefully, one of those metrics along the way is fewer fires; it’s not the most sophisticated metric, but it’s a key indicator. I mean, fewer fires are the success story for AI.

Sometimes, I joke in my speaking gigs and other settings that one of the side effects of AI for me has been that I’ve become a nicer person. I am a nicer person because I have the time to be thoughtful, remember things and say, ‘Hey, David, how’s your Friday dinner series going?’ Because now I have the headspace to think about that, as opposed to just the stress levels even from two or three years ago, where if a client asked for an off-book meeting, the first reaction was annoyance and anger and having them explain themselves for why they’re being inefficient. Versus now, it’s like, ‘Okay, maybe I just need a little boost of motivation, and let’s do it,’ and you’re finding those times.

I think those kinds of things are what we promised in an AI podcast, and they’re about halfway in, but people are not hearing tips, tools, or tricks. Instead, they’re hearing the mindset because that’s the crux of it. How to think in the age of AI is really the first task at hand.

I think that makes it a lot less intimidating for people as well, because this is not like, ‘Oh, let me just jump in and learn about a new CRM, and it’s complicated.’ It’s much more like, ‘Let me think about how I want my life to be, how I want my work to be, and then what options are there to shape it using AI.’ If I might deviate into the personal for a second, using AI for personal tasks is not nearly getting the hype it deserves, in my opinion. Whether it’s helping you with groceries, finding the cheapest price for a ticket, or assisting you in other ways.

In my case, I hate banking tasks, and sometimes I’m like, ‘Oh, this task is going to need me to go to the branch.’ And then I’ll ask ChatGPT. I’m like, ‘I need to do this, this, and this. And is there a way for me to achieve it?’ And they’ll give me a step-by-step thing telling me where to log in and what to fill in. And that stuff is equally powerful in terms of giving you your headspace back, in my opinion.

David Pisarek: When I introduced you at the beginning of the show, I said that you talk with leaders around a 100X scale factor, right? That sounds massive.

How could non-profit leaders apply that mindset to grow donations, revenue, impact, all that stuff?

Susan Diaz: I think, again, it goes back to what are you doing with the time saved? That’s where the 100X piece lives. Initially, when I started talking about 100X, let me tell you the story behind it. The refrigerator. We all know that refrigerators started as, maybe, a way to keep life-saving drugs cold. It started in the 1800s. Instead of using ice, they were using a closed box with all the mechanisms. That was the only thing it was used for, for a very long time. Eventually, about 100 years later, the Coca-Cola Company pops up and says, ‘What happens if we stick a beverage into that and then cool it? What needs to happen to the scaling of it, to reduce the cost, to make it smaller, colder, whatever needs to happen to make this go?’ Then it took another 100 years, between the 1900s when this started happening commercially, to when everyone has one in their home. And I joke about how I have a small one to keep makeup in. So, that’s the level to which, over 200 years, the technology has progressed. What we’re doing now is, we’re making that progress in a year, in two years.

Remember the headlines about ChatGPT in the first weekend had, I don’t know, 6 million people signed up for it? And then if you look at the graphs of how other tech has grown, and if you look at ChatGPT, it’s just a different world. It’s all the way up in its own space and consistent. Consistent, meaning that people are not losing interest. It’s not a hype thing that people are just getting bored with or whatever. I think essentially that’s where the 100X comes from.

The moment is calling on us to think completely exponentially and to completely think about what those saved time things could be doing. If you spend 4 hours on a task and now you’re spending 30 minutes, you’ve got 3.5 hours. What is that going to be? Is that going to be useful? Sure, you can use it to rest. People should be working a lot less. Maybe we can start by fixing the deficit in that area first. Then, beyond that, I think that’s where the big mission-driven idea is the impact, the goals, the money, whatever it is that the plan is, I think that number is just the floor right now.

What’s above it?

David Pisarek: Yeah. I mean, the way I like to think about it, similar to what you’re talking about, is we had the industrial revolution, right? Eighty years ago, 100 years ago. What we’re in right now, and COVID, I think, really kickstarted it, is a technological revolution, right? So we’ve got COVID, everybody is going to remote work, people are going back to the office, whatever. But remote work, I think, is here to stay. I’ve been working remotely from my home for the last nine years.

Susan Diaz: We are the pre-COVID folks.

David Pisarek: There you go.

Susan Diaz: This is our reality.

David Pisarek: COVID, I think, really pushed it, and that was only a handful of years ago, right? If you think about the amount of growth that technology has had from 2021, we’re in 2025 now. Within a four-year period, everybody is going remote, the pros and cons, it doesn’t really matter. But the overall, I guess, implementation of technology in everything that we’re doing, and AI is really just the next part of integrating technology in our lives.

We’ve got, what is it, Meta and Rayban, I think. They’ve got the smart glasses. You’ve got headsets and things. There’s so much still to go. We are really, if you think of technology as a baby or as a human, right? Right now, it’s not even a toddler yet. It really hasn’t taken off. I think a lot of people a year, year and a half ago, and there was a lot of conversation at Digimarcon 2024, a lot of people were concerned that AI is going to take their job. I don’t think that that’s accurate.

What I think is accurate is people who know how to use AI are going to take your job because they can do more in less time, which means ultimately that they can achieve more over the same 35 hours a week or 40 hours a week or 100 hours a month, whatever it happens to be, to help businesses, organizations, non-profits, global, whatever it is that they’re to solve, get there faster.

Susan Diaz: I think you’re right. The thing is that we’re using your toddler metaphor there. This is the terrible twos of the tech, right? I mean…

David Pisarek: Love it.

Susan Diaz: It’s going to come with some tantrums and some concerns and some ethical questions, and it’s going to grow for sure. The thing to do as we navigate it, and ultimately, the humans are navigating it, right? We’re not at artificial general intelligence here.

As much as you can automate and you can have asynchronous tasks, it lacks reasoning. Well, it has reasoning, mathematical reasoning, but it lacks intuition, it lacks morals, it lacks beliefs, it lacks philosophies, all of those things that make us human.

We’re going to keep driving this boat for a while, in my opinion. And so then, what we need to do is, we need to remind ourselves in this messy middle, things are going to go wrong. You’ve heard about things like the Shopify COO talking about not hiring until you’ve proven that this cannot be done by AI or a human plus AI. And now those things get blown into these massive news stories because it’s the wrong communication. That’s not the way to put it down. But it is not far from what we are talking about right now, which is that people can just do more with less.

And so, that will start to raise questions like, even the 40-hour work week is going to come up for debate. I think, as humanity, lusting after the four-day work week for a very long time. Is this when it happens? Maybe. It’s starting to happen in places like Dubai, in the Middle East. Apparently, they’ve moved to the four-day work week.

So, I think those things as well will come up first before we start to get to a place where we should be, just getting AI to do everything, and then firing all the people, and then not hiring anyone new. I mean, that’s just the messy way to do it, and that’s what’s happening right now.

But I think that will self-correct, because if you take out a lot of people, you’re going to discover real quick that the whole thing cannot be managed by a machine, and then you’re going to put too much weight on some people, and you’re going to come back to the same situation. You could have all the tech in the world and still be in the same exact place unless we’re starting to redefine what that actual future of work looks like.

David Pisarek: Totally. I’ve heard of some not-so-great things that are happening with AI.

I believe there’s a lawsuit against Workday because in their algorithm, they have a HR information system. I don’t know whether it was intentional or not, but they were essentially filtering out people who they deemed were over 40 years old. Because if you have the date you graduated from college or university, if you have so many years of experience, the younger workforce is typically less expensive than an older workforce. I think there’s definitely pros and cons to using it. So let’s use it morally and ethically.

And I think one of the things that you touch on in your book, ‘UNboring‘, is around content. And I think a lot of organizations I’ve seen this with some of our clients, and we help them through it, seen it on other organizations that aren’t our clients, where their content is just really blah, right? Who wants to read this? Who wants to talk about it, right? Do you have any thoughts on how people can shift their messaging and how they might be able to leverage AI to maybe help with that?

Susan Diaz: See, some of the things that we’re talking about here, like why the content is so dry, is because maybe people are trying to do it in a way that seems ‘professional,’ whatever that means. I would argue that, in the last few years already, and definitely going forward in the age of AI, it’s that personality or that personal brand, if you want to call it that, that’s going to shine.

If you look at the big companies or the large small businesses that have made a big impact or impact-driven businesses, it’s often people that you can associate with. It’s often the folks behind it that you get to know and you follow and whatever. Someone was talking about HubSpot recently. At one point, HubSpot was HubSpot. It’s the company. Now, it’s Darmesh and Yamini and all of these folks who have so many more followers and so much more engagement than HubSpot itself. I would say that the way to just ditch the boring is to be the person, and it’s all the more important in the age of AI.

Bring that humanity, that humour, that sense of timing, the wit, the contextualization, all of these things just add up to making it much more textured and rich, and just you’re able to read it.

Often, people will think that if I’m talking about being humorous, it means just jokes, dad jokes, and gifs and memes. And yes, there’s a place for that. There is 100% a place for that, I believe, but there are also other ways in which you can lighten the information. At one point, your job was only to inform, and now your job is to inform and entertain. I’d argue the people who entertain are the ones who get most of the attention. Virality is purely entertainment.

David Pisarek: Love it. Some excellent points there for sure.

I think it’s important to think of your organization as a person. What’s the personality? Then let that come through in everything that you put out there, from the logo, the look and feel, the colours you use, the words that you use, the tone, the style of your messaging, the imagery that you use, and really put together a brand package for the personality of your organization, and use that as the filter.

If you want, you can create a custom GPT and ChatGPT, and you can give it all the information and insight about, ‘Here’s the person that we want to represent the organization. These are all the traits and whatever.’ You can even use AI to help you refine that and build it out if you want to. I think there’s a lot of opportunity to strengthen your mission by being able to create an emotional connection with people. I think that’s really what you’re talking about there is how can we get people to know, like, and trust us? To do that, we have to pull on emotional heartstrings. What does that is stories. We need to have compelling stories.

At the end of the day, non-profits are there to help a cause. Maybe it’s animals, maybe it’s pollution, maybe it’s people. What are those stories that you can tell and have those come through?

Susan Diaz: 100%. It’s the same as any conversation, I think.

You get really good at it when you start listening. You listen to what the people want, not saying to pander, but I’m saying to prioritize the other person in the conversation, which is the audience in the case of brands, and then speak to them in a way that they would think that you’re cool, you’re a good friend. You’re someone that I’m going to remember if I met you at an event.

David Pisarek: Absolutely. Susan, love our conversation. We could probably sit and talk and have another 10 episodes on this. You’ve had some amazing thoughts and insight around growth and mindset, and definitely, obviously, AI. We talked a lot about AI. So thank you so much.

I hope people who have been listening to the show or watching it, we’re on YouTube, so go listen, subscribe, and that they’ve been able to get some great advice and some pointers from you today. I know I have. I’m going to take them back to my team and the clients that I’m meeting with.

I’m going to put you on the spot. Before the show, I said I’m going to put you on the spot right at the end. All right, here we go. If you were to issue a challenge to anybody listening to this episode, something you want them to do in the next 12 to 24 hours after listening to the show, what do you want them to do?

Susan Diaz: 12 to 24 hours. I love it. I love it. I love it. I would say commit to the mastery and log some time using the tool. In the next 12 to 24 hours, let’s assume you’re going to be asleep for a good bunch of that; let’s aim for 4 or 5 hours of AI use. Hardcore boot camp it. Sit down before you start any other task. Simple things like, ‘Okay, I’m going to Google this.’ Before you Google something, see if running a little bit of AI deep research can get you results that are more complete. If you’re trying to create a report, see if the AI can give you a slightly better draft than the one that you would have started with. Log a few hours because the more you do it, the better you’re going to get, as with everything else. Yeah, 4 hours.

David Pisarek: Amazing. We also mentioned before we hit record on this that you’ve got an offer. You’ve got a busy founder’s AI toolkit. Can you tell us about that?

Susan Diaz: All right. I get a lot of questions, David.

The most common question I have is about tools. What tool do I use for this, and what tool do I use for that? And while I love a tool, that is not usually the first conversation I want to have. I want to talk about what you’re trying to achieve. That said, there are some tools that are ace in their game, and I’ve put them together. It is focused on founders, but it’s equally relevant for non-profit leaders. So, there are some general tools, there are some marketing tools, and then there are some aggregator tools that will help you get into the world of automation. So if you’d like that, there’d be a link, I’m guessing, in your show notes.

David Pisarek: Yeah, absolutely. Susan, if anybody wants to get in touch with you, where do they need to go? What do they need to do?

Susan Diaz: I spend an unhealthy amount of time on LinkedIn, so hit me up on LinkedIn. Susan Diaz. If you say Susan Diaz and AI, there will probably only be one.

David Pisarek: Amazing. Thank you so much for joining in, Susan. It’s been great having you on the Non-profit Digital Success podcast. To everybody listening, if you want any of the insight, the tips, the tricks, the points that we talked about, as well as the link to the Busy Founder’s AI toolkit, Susan’s LinkedIn profile, just head over to our podcast show notes page at nonprofitdigitalsuccess.com. Click on this episode for all the details. Please go subscribe, share this episode with everybody and anybody.

And until next time, keep on being successful!