Tell The Robot To Get Some Water

When your work depends on trust and relationships, AI can feel like a threat. In this episode, we sit down with Lizzie Neufeld, CEO and founder of Strat Labs, to unpack the fear surrounding automation and explore how nonprofits can move forward without losing the human touch. The big takeaway: AI works best when it focuses on operations and internal capacity first, allowing fundraisers to spend less time buried in administrative tasks and more face-to-face time with donors.

Instead of searching for flashy new tools, Lizzie argues for a process-driven approach—mapping exactly where your team loses time and momentum each week so you can use systems, like project management platforms, to fix those leaks. Tune in to learn practical guardrails for auditing AI-generated content, how to automate major donor follow-ups while keeping humans in control, and why operations thinking and storytelling are the two skill sets that will matter most moving forward.

Transcript

Sponsor Message From Feather

SPEAKER_01 0:00

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Welcome And Guest Background

SPEAKER_01 0:23

back to the Nonprofit Hub Radio Podcast. I'm your host, Megan Speer. Joined today by Lizzie Newfield, who's the CEO at Strat Labs. We're taking maybe a different approach on the AI topic today to kick us off. So I'm excited to dig in to the thinking around it instead of the practical how-to. Lizzie, welcome in. Glad to have you here.

SPEAKER_00 0:41

Thank you so much for having me. I'm happy to be here.

SPEAKER_01 0:44

Nice. So tell the audience a little about a little bit about yourself and kind of your journey that brought us to the conversation today.

SPEAKER_00 0:51

Sure. So I am the CEO and founder of Strat Labs. We're a social impact marketing, communications, and fundraising agency. And we really exist to bring marketing and comms together to support fundraising. And I have been on this mission for since I started in this world in 2000 to figure out how to make marketing and communications more efficient for fundraisers. And this has been just a challenge that I've seen across the board in every role that I have been in. And I've experienced it both, you know, working in the field on the nonprofit side and then being on the other side of it. And so as AI tools became more and more available and easily accessible and embedded in the work that we were doing, even as simple as, you know, grammarly in your Gmail, we started to really dig in as a team to think about how could we use these technologies to better support our clients and help with the, you know, help automate tasks. We hear the same thing over and over that no one, I don't think there's ever been someone at a nonprofit that said that they have plenty of time and plenty of capacity and plenty of hands to purchase. So we were really working on, you know, thinking about systems and operations to support those efforts, specifically in the marketing and comms realm.

SPEAKER_01 2:08

Yeah, that's great. And that is kind of where we're going to start today's conversation.

Why AI Triggers Development Team Fear

SPEAKER_01 2:12

So I saw a blog post that you all had put out recently called Why Your Nonprofit Development Team is hesitant about AI and why they shouldn't be. And I it caught my attention because I do feel, and I was saying this to you before, I feel like fear is where we live for this, right? Because there's so much fear of the unknown and so much question around well, what data does it need and how do we protect her? There's just so many questions that were almost frozen and not wanting to move forward with tools that actually could be helpful.

SPEAKER_00 2:45

Yeah, no, absolutely.

SPEAKER_01 2:46

So let's start there. Tell me a little bit about kind of the the background there and maybe because if we could help eliminate some of this fear, great. I think we will have had a very successful conversation.

SPEAKER_00 2:58

Absolutely. I that's a great place to start. And, you know, I think I don't know that I can fully eliminate it with this, but I would say that, you know, it's an ongoing conversation that we're we're having. I mean, this these technologies are moving so fast. And so I think there is there is reason for a pause and reflect. And when we wrote that blog post, you know, I think we were we were going based off an experience we had with a recent client where there was an RFP that was issued and we responded to the RFP to help build these AI systems. Well, the RFP kind of came from the top down and was very well thought out, and there was a lot of people involved in creating it. But I think what maybe was missed was some of the people that were going to be implementing some of these technologies or using them more regularly weren't part of the initial conversation. So we came in thinking, kind of we were all there, we were all done. And we had the team on board. And about halfway through the project, we realized that they were really nervous. They were really scared about what this all meant. And I think a bit of it was, you know, were they they were a bit worried about losing agency and control over their work? You know, does this mean that, you know, the technologies are gonna take over not their job necessarily, but but in terms of the quality of the work, you know, is it going to be sort of reliant on a technology? Was it gonna lose their personalization? And, you know, with the development team, these are people who are who want to have relationships with people. They want to be, they, they want to talk to you, they want to engage with you, they want to know, you know, all about your ins and outs of where you like to give and what activities you like to do. So if we're kind of layering AI on top of that, that can be a little bit of, you know, there can be some fear built in there. So yeah, so that's kind of where it came from. And and there are some concerns. I mean, I think there are places where you can be concerned, and it is just, I think there, the work that we're doing and we're trying to help nonprofits do has to do with using AI for systems and operations. And so, you know, I think that sort of lessens this idea that it's going to be in there commingling with all of your donor data and their names and addresses and phone numbers and and more think about how it can help you do your job more efficiently. Does that answer that question, so to speak?

SPEAKER_01 5:19

Yeah, I think that's great. So, okay, so let's take that with what you said about wanting to make marketing and fundraising more efficient, right? We want to kind of make the process a lot more seamless. Because I do think the unfortunate reality is that we still have those things living in very different sides of the house and they don't necessarily tend to always be as combined as we would like them to be in general. So from a from an efficiency standpoint, right? If what we're trying to do is is make that process easier and ultimately better, right? Ultimately produce better results, what are the things that maybe we should be thinking about tool-wise when it comes to AI or process-wise when it comes to AI? And what are the things that you would think of like that's not where the tools are? That part still needs to be a human versus yeah, these are actually things that could help in that process.

SPEAKER_00 6:15

Yeah, absolutely.

Start With Workflow Friction Not Tools

SPEAKER_00 6:16

It's a good question. I mean, I think first I would push back and say that a lot of organizations are approaching this AI revolution by saying, what tools should we use? I had a meeting this morning and that was the question. And I think the better question and where we're seeing the most productive work happening is asking what where is the time, energy, and momentum getting lost every week on your team or within your organization. So I think kind of reframing it a little bit is is maybe a way to rethink it because if you can, if you can articulate that and get that out there. And I think it does take sitting down with your team, both as individuals and then as a group, to think about where that time, energy, and momentum is getting lost. If you can pull that out, then you can kind of find the tools or the systems that you might use. One of the things that we hear a lot and is propelling a lot of our work forward is that most nonprofits that we speak to are not using a project management system. And so if we're talking about like what is the number one tool I think nonprofits should be thinking about and looking at, it's a project management system and tool because a lot of automations can be built into that that can help free up time and improve efficiency in the workflow.

SPEAKER_01 7:34

Okay, so more of a more of a process mindset. Yes. And that's where a functional mindset.

SPEAKER_00 7:42

Yeah, yeah. Because at the end of the day, like, you know, I think when AI was introduced to the general public and we all started using it in this industry, it was to generate content. And it's still being used in that way. But what has been around for a lot longer and which has now become so much more accessible to the rest of the world, but especially in this industry, in this nonprofit industry, are these systems and operations that can be automated if you are using things like a project management system or tool. And it's the same thing goes with CRMs. I mean, CRMs have had AI built in for a very long time. It's how, even how a report is generated, you know, it's kind of using that in the background. But as these technologies become more robust and they're easier to implement on a public level, you can make your CRM really work for you. So it's really not, we don't go out there, I don't go out there and say you should use X, Y, and Z tool. I kind of go out there looking at the overall organization and say, what tools are you already using? Where could we improve? Where can we bring in some, you know, flow and and and automations to help with some of this work?

SPEAKER_01 8:46

Yeah, that's great. I

Personalization At Scale With Guardrails

SPEAKER_01 8:48

think one of the things that that we hear a lot of questions around, we've done a couple webinars around AI for fundraising, AI for marketing nonprofits, whatever. Um, one of the questions that we consistently hear is the idea that uh AI makes it easier to scale kind of the human connection, right? But I'm curious your thoughts on what that line is for messaging, right? Where do we have the line for like, yeah, the we can segment this list 15 different ways or 37 different ways? At what point like what's the balance there in terms of like how for scalability, how often should we really be touching these pieces? What does it look like to scale effectively and efficiently instead of just because we can within our kind of segmentation and and the audiences that we're speaking to?

SPEAKER_00 9:45

Yeah, I mean, I think it's I mean, there I guess there's a part of it the I I think what you're saying, and I think what we kind of say as a team is like AI can help you expand personalization. We say this in the blog, not replace it, but then it's like, where does that become too much, right? Like how when when do we get like sort of over our skis a bit with that? And you know, I don't know that I have the perfect answer, but I feel like you have to, that's where the humans stay in control because AI will start to spin out of control in terms of continuously offering you, like, like you said, different ways to slice a list, different ways to message someone. And it's like you have to at some point say, I think this works and test it, you know, pressure test it. I think going sometimes going deeper and deeper with AI, like as your thought partner, is not always the best way to go. I think at some point it's like, let's stop this conversation and let me start to implement a little bit. Um because it will just keep going. I don't know if you've ever been in that loop with it where it's like, oh yes, now I can do this. And so I think from like a donor perspective, a team perspective, a time perspective, it's like get in there, ask it what you need it to do, and then get out. You know, don't be going back and forth. I think that's gonna slow you down.

SPEAKER_01 11:02

This is an aside, but the other day I was working on a project in Chat GPT and I was in one of those loops, but it was good. Like we were, we were continuing to have to do the next step, and it was making all of these Excel sheets for me, and it was great. And I was maybe an hour or so, hour and a half or so into the the project and like into the prompts, and I put in another one, and its response was and this is how you know, like maybe my chat GPT and I are too close. I put in another prompt and it said, I can absolutely do that. Why don't you go get some water while I do? And I was like, listen, robot, I don't that's amazing. I got maybe too far, but yeah, it prompted me to go take a break because I was stuck in that loop for so long.

SPEAKER_00 11:46

Yeah, I think that's hard because the the thing that we're trying to solve for I'm trying to solve for is that I'm trying to give capacity back to leaders. And if you get down this rabbit hole with AI, I mean it can you could spend your whole afternoon in one you know area that you're working and you may only use, you know, one tenth of the content or the process that it's recommending because it just keeps going and going and going.

SPEAKER_01 12:12

Yeah. That's it, okay. Let's unpack that a

Automations That Return Time To Leaders

SPEAKER_01 12:15

little bit more. So when you say the goal is to give capacity back to leaders, what does that look like?

SPEAKER_00 12:23

I think there's the so it to for us, for our team, and when we're working with clients, and what I'm trying to do is really using these technologies to improve, as I said, the process that that leaders are using within their team. So when I talk about a project management system, what that looks like specifically is having tasks that are created that are assigned to your team that were created from notes from a call. And the call went over, you know, kind of in depth all the kind of next steps that someone needs to take. And let's use a major donor, for example. Let's say someone on your team has a call with a major donor. That call is transcribed with the donor's permission, of course. And then those notes are automatically sent to the project management system. That system then reads the notes, pulls out the most important follow-up tasks that need to happen, creates the follow-up tasks, assigns them to the correct people with the correct due dates, and then even can go as far as creating drafts that may need to go to the major donor or may need to go to someone else to kind of include them in the conversation. I'm just giving this as an example of a way of a process that may have otherwise taken, you know, an hour, hour and a half, typing up all the notes, reading through them, summarizing them, creating all the tasks, getting them to the right team members, getting everyone on board, and then moving the project forward. So, what that did is that it, if that frees up 75% of the time that was related to that, you know, bucket of content, it gives that time back to the development person. And now that person can craft more personalized email because all they're really thinking about is the correct follow-up. They don't need to be worrying about all the operations and the admins that is happening to be set behind the scenes. And the truth is that, you know, companies, corporations have been doing this for a very long time. They have executive assistants, they have VAs, they have, you know, they've been using agents in this way. I think the nonprofit community either doesn't feel that we're, you know, deserving of it, or we just don't know how to get moving on it in a way that's efficient and effective. So we're trying to help with that.

SPEAKER_01 14:44

You wear

Sponsor Break From Feather

SPEAKER_01 14:45

a lot of hats. Getting the word out about your mission shouldn't have to be the hardest one. That's why this episode is sponsored by Feather, a nonprofit marketing platform that helps organizations reach the right people, promote campaigns and events, and understand what's working. We use Feather here at Nonprofit Hub2, because staying visible and connected matters when you're trying to grow your impact. To see how Feather can help make your marketing simpler and your impact bigger, visit feather.co. That's feather f e a t-h.co.

Invest In Systems Not Overwork Culture

SPEAKER_01 15:29

To be honest, an observation that I really appreciate but have not thought about before of this idea of like we almost want it to be harder. Like there's some sort of honor in suffering because we're doing it at a nonprofit that just doesn't need to be there. That's a really interesting, a really interesting call out.

SPEAKER_00 15:47

I mean, I think there was so much conversation a few years ago with that TED talk, and I'm forgetting the name of it, where it was like, you need to run it like a for-profit. Yeah. Which I think people were so excited about. Oh, thank you for finally saying it. But the truth is to run it like a for-profit, you have to invest in these systems and these operations, and you have to have, you know, this type of even this the simplest thing, I'll talk to clients and they'll say, well, we can't afford a project management system for, you know, $13 a month per user, um, or whatever it is. And it's like, well, but that's what is going to help your organization run more efficiently so that you can go out and raise money and serve the cause, serve the purpose that you're, you know, kind of here for. So I do agree that I think it's because we're also mission driven and we're also mission forward that I do think there's a part of us that's like, we're scrappy. We want to just do it ourselves.

SPEAKER_01 16:38

Yeah. And I think the blame can fall for that lots of ways, right? We uh can't have overhead costs. We have to keep our overhead costs low. All of all of those pieces. But I think and I, man, I wish that that if I could change one thing about the world, it's that. Because you have to be able to spend money to help your organization grow. Yeah. It is like any other business. Yeah. So yeah, I there's there's not a lot of honor. It's not some sort of noble cause to like do your work in a harder fashion.

SPEAKER_00 17:08

Yeah, no, it's so true. And we I've been speaking to a lot of funders and foundations recently about this. And I just got actually back from New York doing this uh leader summit, and there was a lot of conversation around this. And it was really interesting because I keep pushing, like, this is a time we're in this AI revolution, and like it is similar to that industrial revolution. And I think that if there was ever a time for funders to invest in nonprofit operations and systems and capacity, now is it? Like, now is the time to put the money behind them so that they can grow and scale because the technology is there to help them do it. So where it may have cost $100,000 to help someone hire and do all of these things to get to where they need to be to free up some of their time to build better programs or raise more money. Now you could probably cut that in, you know, have a quarter of that be spent on some type of technology or training and allow then the nonprofit to move ahead, probably 2x where it would have been with less staff, less overhead, but still have the capacity to move forward. Does that make sense?

SPEAKER_01 18:16

Yeah. No, I think that's a great call out. Yeah. And I think too, I was I overheard a conversation at a conference recently where they were talking about essentially it was it was an executive director who was maybe venting a little bit about well, when I was coming up, I had to do all the research myself and I had to Okay, yes. Other I understand that, but just the that idea of like the way we've always done it because I had to cut my teeth that way is not a great argument for trying to do that now.

SPEAKER_00 18:50

I totally agree. Yeah, I totally agree.

SPEAKER_01 18:52

So it doesn't have to be like that.

SPEAKER_00 18:54

Yeah, I mean, I think that there is sort of this, you know, mentality. And I'm I'm part of that generation. I mean, I started my career at United Way in Los Angeles, and you know, we we were like looking at 990s and these stacks of documents that were just like page by page, nothing was even digital. It was just you had to send in your application for the for this federated campaign that we were doing. And I just, you know, I get that. That is really interesting. And I learned so much. I mean, it was like grad school for nonprofit leaders. Yeah. And yet we're no longer in that era, you know, era and things are so different. I mean, you think about the role that social media plays in supporting nonprofit missions. And it's like, you know, that was that's a whole other sort of bucket of, you know, that didn't exist. And so I get it that people want to kind of hold on to like you got to do the work. And I am I am all for that, but I think the work itself is changing. And I'd like to see more people who are interested in getting into this field and want to work it with nonprofits to be really bringing their skill set of like technology. Take be a technologist, come to a nonprofit, the nonprofit sector and show us what you got. You know, we we have a we're hiring right now, and it's been really interesting to see the resumes. It's a coordinator level position. So see the resumes of some of these younger folks. And it's really interesting to see what they put forward because it has to be different than it was.

SPEAKER_01 20:17

Yeah, that's so interesting. So

Mistakes To Avoid With AI Adoption

SPEAKER_01 20:20

as we're in this process, especially when it comes to the marketing and fundraising side of the house, are there mistakes already that we're that you're seeing people make early on that maybe we could nip in the bud before we get too far down the path?

SPEAKER_00 20:36

Yes, definitely. I mean, I think one of the big things is investing a lot of resources into new tools and too many tools too soon. So I think there's a lot of great tools that are out there and more that are even being developed every day to support our sector, to support the nonprofit sector. But what I tend to see happen is as soon as like a sales call happens, it's so exciting, the possibility that they just jump right in and they hand it over and they're like, I am ready to go. And I think they're, I think everybody just has to take a beat and think, okay, what are the things that are slowing me down? What do I need to solve for most immediately? Because there are the tools are also changing so quickly and so rapidly, and there's more that are coming to market every single day. So I think it's worth a little bit of a deeper dive and like pausing just for a moment to really do some kind of audit discovery process. And then we're calling it a feasibility study where you actually go in and talk to your team and your staff and you really understand where they are struggling on a deep level and you document it before you adopt a new technology.

SPEAKER_01 21:47

I would add my own call out of We also have to audit the output of the tools. Yes. If I read one more newsletter that was so very clearly written by AI and not edited in any In any fashion to sh like to actually reflect a human version of the mission or another LinkedIn post that was very clearly written by ChatGPT. I I think, yeah, I think audit in general, both in the tool itself and then in the output, I think that is a a step I would love to see us stop skipping.

SPEAKER_00 22:21

I I totally agree. I mean it is crazy. Even the social media posts I see, I'm like, you call everybody, delete the emoji. Everybody knows where the emoji is coming from. Yeah, everybody knows that you did not put that in there. Absolutely. And and the truth is, I hate to say this because I am in support of new tech, you know, new platforms, new programs, new technologies. But the truth is, like, if you're using, if you're being sold a tool that's just for content generation, I don't, I would be really, really cautious because to me, it's probably just wrapped in a nice package, but it's likely using all of the GPTs that are already out there, all of the large language models that are already out there. It's it's using their technology to fuel their system. And while yes, there's probably some nuance that supports it for a nonprofit, I don't know that it's like, you know, that's exactly where I would say I would rather people spend money on a project management system and get everything in order and then, you know, invest in a technology. So there's that element too.

SPEAKER_01 23:23

Yeah, I agree. I think it's interesting though, and I I'm curious your thoughts.

The Skills That Stay Valuable

SPEAKER_01 23:29

As these things continue to develop, right? And and I'm it's kind of piggybacking off of this idea that you're you were talking about hiring for, what do you see as the skill sets that people should be developing for themselves right now? Whether that's the, you know, maybe a college program that needs to change or some skills that people could do in online learning, what are the things around this that are really gonna set somebody apart and the skills that they should be focusing on moving forward?

SPEAKER_00 23:58

Yeah, I mean, I'd say if you're looking to enter the social impact space and you're in college or coming out of college, I would be, I would look at two paths specifically. One is, and it's I'm gonna be really granular, and there's probably a zillion ways that you could go, but is around process and operations. I think if you could bring real value to nonprofits to help them develop processes and operation sets that impact their marketing communications and fundraising, not just their program, not just from an HR perspective, but all these other things and you understand the technologies that help them do that, I think you are going to be set up. Now, on the other side of it, I think we need really good storytellers. AI is not going to be telling this kind of stories that we need to be told in the depth that we need to be told with the nuance that we need to be told. Yes, they can do it with training if you're feeding them the information, but that requires you to be a really good storyteller. So I think storytelling is something that is going to be around for a very long time. Now, will you get assistance with it? Sure. But you have to be able to create the story. You have to be able to connect the dots. You have to be able to take that mission, you have to be able to take the people benefiting from the mission, the people supporting the mission, you know, the world around us and create a really interesting story in order to move that nonprofit forward. So those are the two, they're very different, very different skill sets. But I think those are the two that I would recommend people think about.

SPEAKER_01 25:27

I love that. Specifically, I love the call out to on the storytelling, right? Because I was speaking with a a student not too long ago who is was interning for me, um, who asked about, like, oh, you know, you were a communication major in college as well. I'm like, yes. But that was a very different time of life, right? Totally. Right? A very different Facebook didn't even exist yet, like a whole different world. But yeah, right. It's that idea though, that like the elements of good communication, the elements of what makes a good story are going to be true whether I was writing them in a a PR press release in 1999 or somebody is writing them in a newsletter today. The elements of good communication and what moves people don't change. And and I don't know that AI can do that part. So I yeah, I really appreciate that call out.

SPEAKER_00 26:24

Yeah. I mean, one thing I'm a really I love writing and I write all my own emails. In fact, a lot of times I'll sign off with not written by AI because as soon as I start, I'm just really good at I I really communicate well by writing. And so one of the things that, you know, I've been thinking a lot about is like, do I need to shorten up my writing? And so one of the areas to get my my point across faster, you know, and so one of the areas AI can support is, you know, if the prompt is do not change this, the tone, the message of this email, but please help me shorten it up, great. That's a good way to use it. I still wrote it. The content is still mine, but I am using it to kind of to think about what's the best audience for this.

SPEAKER_01 27:08

Yeah. I tend to because I do think I am a pretty decent writer, but I do tend to come across as maybe too excited and too personal. Like it just has so I will regularly say, especially in certain contexts, I will regularly say again, don't change the whole the message itself, but let's maybe professionally polish this a little bit.

SPEAKER_00 27:35

Yeah.

unknown 27:36

Yeah.

SPEAKER_01 27:36

So that I sound a little more professional in the process, which yeah, has been a very helpful tool for me.

SPEAKER_00 27:43

No, for sure. I'd love to do that.

SPEAKER_01 27:44

Way less exclamation points that way.

SPEAKER_00 27:46

Yeah.

How To Connect And Keep Learning

SPEAKER_01 27:49

Okay. So Lizzie, I want to this has been a great conversation, and I I'm sure that it has made folks want to learn more, uh, or maybe even go find your blog. So tell us a little bit about Strat Labs and the work that you guys do and how they can find you and connect with you guys to learn more.

SPEAKER_00 28:05

Yeah. So as I mentioned when we started, um, Strat Labs is a social impact marketing, communications, and fundraising agency. And we work with nonprofits of all sizes and shapes and doing all types of work. Um, we've been around for nine years, and next year will be our 10th anniversary, which is really exciting. As I mentioned, I started working in this sector in 2000. So I've been doing this for a very long time. Um, and I've been through all of these changes and ups and downs and closing in the dot-com era. I mean, this is feeling very reminiscent, reminiscent of when the nonprofits were all scrambling to get their websites up. You know, it's like such a new thing. And I just remember that. Like, oh my gosh, how are we gonna do this? I learned to HTML code so I could help build it. Um, all that to say, you can find StratLabs um at Stratlabs.us. You can find me on LinkedIn. I'm pretty active. I have a newsletter and we're talking about right now all AI related topics. So um I'm on LinkedIn and it's Elizabeth, not Lizzie, but Elizabeth Newfeld, N-E-U-F-E-L-D. And yeah, I mean, I I we are always looking to hear what people are working on, um, collaborate on interesting ideas. I we're I am really out there seeking information at all times. So if people listening are doing some interesting work in this space and would like to connect, I would absolutely love to hear from you. I'm all about learning from others.

SPEAKER_01 29:32

Excellent. I love that. Okay, so as we wrap up today, I do have one final question. We have dubbed 2026 as the year of learning here on the Nonprofit Hub Radio podcast. So I'm curious, what's a book that you would absolutely recommend everybody put on their to read list, either about this AI topic or nonprofit or just, you know, something that has really resonated with you as a human?

SPEAKER_00 29:55

So there is a book out there called Nonprofit AI, a comprehensive guide to implementing artificial intelligence for social good. Um, Nathan Chappelle. Nathan Chappelle. Yes. So yes. And I I just think if you are interested in this and you want to learn more, you want to read more, you want to get into it with an actual book versus reading about it online. Um, I have found this to be really an amazing book. And, you know, I think it it's giving conceptual information and actual guidance. And I, you know, it was published in 24, and obviously things have moved so fast, but I still think it holds up.

SPEAKER_01 30:35

I would agree. Actually, we just had Nathan on the podcast not too long ago. I saw that. Um yes. So he anyway, oh, is it's just full of so much wisdom. So, yes, read the book, but also while you're on LinkedIn finding Lizzie, go ahead and follow Nathan as well because he does you know, obviously that's something that changes all the time. Yes. The combination of the two of them, you will know everything you need to know about AI. Awesome. Lizzie, thank you so much for joining me today. I really appreciate kind of a really, I would say a really solid approach to thinking about AI instead of just jumping on board and run with it and test and go. I think this is a really practical way to think about it. So I really appreciate your kind of your position and your wisdom on that.

SPEAKER_00 31:18

Of course. I'm so happy to be here and thank you so much for having me. It's really, really exciting. I love the podcast. I listen to it all the time.

SPEAKER_01 31:26

Well, I do like to hear that. Yeah, thank you very much. Happy to have you, uh, and as well as all of our listeners. So thanks for joining me. This has been another episode of the Nonprofit Hub Radio Podcast. I'm your host, Megan Spear, and we'll see you next time.