Nonprofit AI: Carve Out Time To Experiment with AI

Carolyn Woodard digs into something that hits closer to home this week: a conversation with a friend who knows that parts of her job could be automated, but can't find the hour to actually build it. 

That tension of fixing the plane while flying it turns out to be a well-documented, structural problem across the nonprofit sector, not a personal failing, and Carolyn spends the episode working through what the research says and what to actually do about it if you need to find the time to look into using AI.

What happens when funders and nonprofits invest seriously in nonprofit capacity and cutting down on busy work? What's the intersection with using AI to cut down on those repetitive time-sucking tasks? 

This episode covers:

• Anthropic CEO Dario Amodei's "Pace the Frontier" essay is still generating responses from every direction, and the UN General Assembly opened this week with AI as a headline issue - worth watching.
• A peer-reviewed 2026 study on nonprofit administrative burden, paired with a nearly 20-year-old RAND finding that one agency spent almost half its staff time on compliance alone, shows this isn't a new problem. A recent post from Vu Le's Nonprofit AF asks the sharper question of how much of that busywork nonprofits and funders create for each other unnecessarily.
• Trust-based philanthropy has real data behind it: a Center for Effective Philanthropy study of MacKenzie Scott's unrestricted giving found that over a third of nonprofit leaders reported reduced burnout, and recipient organizations held roughly double the cash reserves of comparable orgs.
• A Harvard Business Review field study found AI doesn't automatically free up time. Without deliberate norms around pacing and boundaries, saved time just gets absorbed into doing more, faster, indefinitely.
• A practical, step-by-step way to actually carve out the hour: audit last week's tasks, filter for frequent and time-consuming ones, pick just one, define success in a sentence, and pilot it with a human still in the loop.
• What to do if you're not sure what your organization's AI policy is? That's not a reason to stop investigating, but it is a reason to ask before you run anything through a tool.

Resources Mentioned:

• "We Must Pace the Frontier" – Dario Amodei – https://darioamodei.com/post/we-must-pace-the-frontier
• "Challenges, Choices and Common Applications: Funders' Exercise of Power and Its Consequences for Nonprofits' Administrative Burden" – Katy Adams, Journal of Philanthropy (2026) – https://onlinelibrary.wiley.com/doi/full/10.1002/nvsm.70064
• Meeting Funder Compliance (2006) – RAND Corporation – https://www.rand.org/content/dam/rand/pubs/monographs/2006/RAND_MG505.sum.pdf
• "Is a lot of our work just creating work for other people to do?" – Vu Le, Nonprofit AF – https://www.nonprofitaf.com/is-a-lot-of-our-work-just-creating-work-for-other-people-to-do/
• "Breaking the Mold: The Transformative Effect of MacKenzie Scott's Big Gifts" – Center for Effective Philanthropy (2025) – https://cep.org/wp-content/uploads/2025/02/CEP_Breaking_the_Mold_FNL.pdf
• "AI Doesn't Reduce Work—It Intensifies It" – Harvard Business Review – https://hbr.org/2026/02/ai-doesnt-reduce-work-it-intensifies-it
• Case Study: Nonprofits Leveraging Microsoft 365 Copilot for Impact – TechSoup – https://blog.techsoup.org/en-us/posts/case-study-nonprofits-leveraging-microsoft-365-copilot-for-impact
• Nonprofit Success Stories (Gemini) – Google for Nonprofits – https://www.google.com/nonprofits/find-solutions/
• Brian Impact Foundation Case Study – Anthropic – https://www.anthropic.com/customers/brian-impact-foundation
• "GitLab hosts nonprofit AI demo day to woo investors to innovation fund" – Chronicle of Philanthropy – https://www.philanthropy.com/news/gitlab-hosts-nonprofit-ai-demo-day-to-woo-investors-to-innovation-fund/
• AI Acceptable Use Policy Template – Community IT Innovators – https://communityit.com/template-acceptable-use-of-ai-tools-in-the-nonprofit-workplace/
• Register now: Growing IT Management Capacity at Nonprofits Webinar - Community IT Innovators - https://communityit.com/webinar-growing-it-management-capacity-at-nonprofits/

_______________________________
Start a conversation :)

• Register to attend a webinar in real time, and find all past transcripts at https://communityit.com/webinars/
• email Carolyn at cwoodard@communityit.com
• on LinkedIn 
• on reddit/r/nonprofitITmanagement
• on the Community IT website

Thanks for listening. 

Transcript

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Carolyn Woodard 0:23

Hello, and welcome to the Community IT Innovators Midweek Nonprofit AI Check-in. I'm Carolyn Woodard, your host. Start with my usual disclaimer: I'm not particularly techie. I'm not an expert in AI. I have been working in nonprofits for so long now, decades, and uh working with tech for nonprofits and seeing nonprofits adopt different, you know, moving to the cloud and using CRMs and using social media and all different kinds of tech adaptations. So I'm I'm just fascinated by this moment.

Carolyn Woodard 0:59

And um just there's as I always say, there's this fire hose of information coming at us. So I'm hoping that this podcast is helping to curate and control everything that's coming at you and really relate what's happening in AI more generally, policy worldwide, uh, to what is going to happen and is happening in our sector, how nonprofits are using philanthropy, foundations, um, associations. So, what is happening to our sectors, the communities that we care about, the work that we're doing, and how AI is intersecting with all of that.

Carolyn Woodard 1:34

So if you have any questions, I love to get uh feedback and uh QA. So you can contact me through the podcast, uh, through our website, on LinkedIn, on Reddit. Um, there's lots of ways to get a hold of me. So I love hearing from you. Uh

Carolyn Woodard 1:51

I wanted to do just a quick recap for anyone who missed last week. Um, also, it's just still all in the news. Uh, anthropic CEO uh Dario Amodei published this essay called Pace the Frontier. And he called for AI labs to deliberately slow development of their most advanced models. There was this resignation very public of a senior anthropic researcher. Um and within 24 hours of Amadei publishing his essay, OpenAI, uh, XAI, and Google Deep Mind CEOs had all said something similar. They were down with this idea.

Carolyn Woodard 2:34

And then uh, you know, it's evolving. So just a this is just a quick update. There's nothing really happening. Um I'll be interested to continue to continue to keep an eye on, you know, the their meeting at the UN General Assembly this week. They're talking about AI as one of their headline issues. There's still lots of hot takes coming out in response to that Pace the Frontier essay. There's, you know, the kind of these doomsday scenarios are kind of spiraling. Um, nothing has been resolved.

Carolyn Woodard 3:03

There are regulatory frameworks out there already that could be used. There's a big response of, well, if you're so worried about it, why don't you just slow down yourself? So it'll be interesting to see what happens, but you know, it's just underway right now. And so if you are involved in advocacy, if you want to keep an eye on things, uh, it's all over the news right now about AI more broadly and the policy and regulations that are being proposed. Um, all right, but

Carolyn Woodard 3:32

What I wanted to talk about this week was I had this interaction with a friend about productivity, workplace productivity. And I think this is something that a lot of nonprofits are exploring. Uh, if you are exploring it, I hope this will be helpful to you too.

Carolyn Woodard 3:49

But my friend said that she is, she wants to be able, she knows there's lots of pieces of her day-to-day job that could be automated and that that workflow could go better. There are certain, she has very strong processes in place for, you know, like grant writing or contracting, all of these processes that have evolved over time and are very strict. And, you know, it's just an email sequence. Once the first thing happens, it triggers, you know, there's five emails that go out, and she does those manually. And she does have little scripts that she, you know, like can put into the email, but the whole thing, she just does it.

Carolyn Woodard 4:28

And she said that um she it she is so busy, and this is something that so many nonprofits you know talk about is being under-resourced and understaffed. So she just doesn't have the time to carve out the time to spend time on investigating if an AI tool could do the automated, you know, email sequence, could help with parts of it safely. So she doesn't lose control of it, but that it could do certain things and she would be, you know, the human in the loop, but she wouldn't be spending, you know, an hour per contract following up with the people. It would be able to automate some of those emails.

Carolyn Woodard 5:11

And so she she doesn't have a lack of interest in AI, but she doesn't have a lot of experience with AI because as I said, she's got her head down, she has things that she has to do, you know, eight hours a day that have to get done.

Carolyn Woodard 5:22

So she just is really what we say, you know, she's fixing the plane while she's flying it, and it's just really, really hard to find that time to do the due diligence, to investigate the tools, figure out what tool would work, what's possible, test it, pilot it, put it in place, and eventually get to a place where she trusts the automation that's going to, you know, clients and partners with these contracts. Um, and so, you know,

Carolyn Woodard 5:50

Just the reminders, not she was like, I don't want it to take out of the loop, you know, me reading the contract because I'm responsible for it. Um, but I do want to see if there's ways that we could make those emails just go out more easily with less of my time on just busy work.

Carolyn Woodard 6:06

So I thought that was just such an interesting encapsulation of the bind that a lot of nonprofit staff and foundation staff, philanthropy staff find themselves in. So you you just can't, you don't have time in your day to even, you know, get the toolkit to see if you can fix the plane while you're while you're flying it. Um and there was uh

Carolyn Woodard 6:27

I was looking into this, I was like, well, what resources are there for how can you make that time for yourself? And I found this um study in 2026 in the Journal of Philanthropy, um, "The Funders Exercise of Power and Its Consequences for Nonprofits Administrative Burden" by Katy Adams. So this is an article, a long article, which uh looks directly at how funder requirements shape how much time nonprofits spend on paperwork. Um, and that, you know, there's lots of compliance, there's lots of, you know, reporting, there's lots of um evaluations and complying with that as well. And uh

Carolyn Woodard 7:06

I also found this RAND study from 2006, so decades ago, that this is highly very widely cited that one agency spent nearly half of its staff time on compliance alone. Uh, and that is just time that is taken away from do actually doing the mission. And not saying that compliance isn't important and reporting isn't important, like what did you do with the money that you got? Like, you need to know. Um, but you know,

Carolyn Woodard 7:31

It's this structural problem, and it's something that the sector has been talking about for a lot. If you've read any Vu Le, you know, um, you know, the Nonprofit Unicorn - he is always talking about these unnecessary burdens and lack of trust between the donors and the recipients. Um,

Carolyn Woodard 7:50

But there was this, you know, this big movement um before COVID, but definitely in COVID, around uh trust-based philanthropy, which is really, you know, like in action now. There are many practitioners. There's lots of best practices out there in studies of how trust-based philanthropy works. Um, and

Carolyn Woodard 8:07

The Center for Effective Philanthropy studied recently what happens when funders remove those reporting burdens. And they looked at Mackenzie Scott's giving, particularly as this test case. Um, you know, she's given over 19 billion to more than 2,000 organizations, and her grants have few to no restrictions or reporting requirements. It's just, here you go. Uh, there's no timeline, it has to be spent by this time on these things. It's just you're an organization, I've done my research, that you're doing good things. Here is money that lets you do more of those good things.

Carolyn Woodard 8:42

And this report, this uh investigation, the Center for Effective Philanthropy did, uh, found that three years into the study, over a third of the nonprofit leaders that had received those unrestricted gifts had reduced their burnout and that of their staff, and that the recipient organizations held double, roughly double the cash reserves of comparable organizations.

Carolyn Woodard 9:04

So it's it's this is kind of like trust-based philanthropy, right? Is that the organizations know what to do and like having that cushion, having those reserves allows them to do things, um, not even just like go on these crazy spending sprees, but just do the stuff that they wanted to be doing all along, or pay their staff what they need to be able to pay them, or you know, hire more people, or whatever it is that they know that they need. Um, and that's this real test.

Carolyn Woodard 9:31

So, you know, less paperwork out of this, you know, article and this research, it's not just that less paperwork and less busy work is nicer. It's healthier. It's healthier for the people doing the work and it's healthier for that organization doing the work that it does in its community. Um,

Carolyn Woodard 9:50

So anyway, all of this like to bring it back to AI. Um, so if you are, you know, thinking about these processes and thinking about like, you know, grant applications, uh, grant reviews, uh, all of this, you know, like all of the funding that goes into nonprofits and all of the busy work that's there, like my friend said, contracting, you know, grant reviews, grant applications, um, proposal reviews, all of those things.

Carolyn Woodard 10:17

What are the tools that you already have that can help you with those processes? And hopefully you'll be with some funders who also are, you know, organized around the trust-based philanthropy and are going to be giving you more unrestricted funds.

Carolyn Woodard 10:32

There was an also an article from Harvard Business Review that I ran across where they did this eight-month field study of AI adoption. And they found that this was at a company, not at a nonprofit, but they their findings were you know applicable to other small organizations.

Carolyn Woodard 10:51

They found that AI did save time. That, you know, they had introduced AI, they were using it. Um, but without a mandate to do so, um, the people, the staff had taken on more scope, were doing more because they had this additional capacity.

Carolyn Woodard 11:06

I've definitely found that in my own life. It's like you get in that flow state, you're working with your AI and you're like digging into a problem. And it it's kind of it's it's exciting to be able to solve, do this thing that you wanted to do for a while. So you might stay an hour after to just keep working on it and uh get to that point where you can put it in place.

Carolyn Woodard 11:27

So the researchers at this Harvard Business Review also said, you know, the AI tasks bleed into the more hours of the day, productivity went up, but intensity, fatigue, and burnout risk also went up. The time savings don't show up immediately or automatically.

Carolyn Woodard 11:43

And the organizations that were better able to reduce staff turnout burnout and uh increase the use of AI had a deliberate AI practice where they created norms around using the AI for new projects that you're doing, um, and keeping that in scope, uh keeping that you know, timelines in check, and also you know, making sure you get the rest of your work done, all of those things, keeping the human perspective in the loop, um, because the saved time from the AI helping you gets absorbed into doing more, doing it faster and doing it, you know, like forever.

Carolyn Woodard 12:24

So really interesting to think about in the context of under-resourced and understaffed organizations that are under a lot of um financial constraints and uh, you know, just other constraints, IT constraints. Um, so you know, this kind of um idealized, like if I had AI, I could do five people's jobs. I'm already doing five people's jobs, but I could do it better if I had AI to help me with three of them.

Carolyn Woodard 12:51

Just making sure to keep that in perspective as you are exploring and playing with these AI tools to keep setting breaks, make sure you de-stress during the day, make sure you take a lunch, a real lunch, not at your desk lunch, um, and that sort of thing.

Carolyn Woodard 13:05

So to tie this back to my friend's experience of trying to find the time to investigate if the AI can help you save time on these busy work tasks. Um, so here's some advice from you know many sources. I didn't take this from one checklist, but I kind of compiled it from some different things that you see a lot. Um, and one,

Carolyn Woodard 13:28

All these tips are, you know, just tips. Hopefully you can put this in practice. Um, try it.

Carolyn Woodard 13:33

You know, one of the things they tell you is have a accountability buddy and put it on your calendar and try to do it this week. Like once you heard about it, don't say, oh, I'll I'll look into that next week, but see if you can do that this week. You still got a few days left.

Carolyn Woodard 13:48

One thing is to put it on your calendar and um just put that time, carve out the time, like put an actual meeting, block out your time for an hour a week, maybe on a day when you can do it, you know, Monday afternoon, Friday morning, whenever it is that you often have slower time, put that block on your week and and hold yourself to it.

Carolyn Woodard 14:13

Use that time to just look at the AI and just work on this project. It's a real project and you're really doing it. It's not just a like, oh, I wish I could do that.

Carolyn Woodard 14:23

And then one of the the uh advice, a piece of advice for looking into things that can be automated is go back through your work for the work week for last week and you know, maybe keep a diary or write it down. What were tasks that you did more than once? Uh, what were the tasks that were the most frequent three times a week or more? And what were tasks that were very time consuming? So 15 minutes each or more.

Carolyn Woodard 14:52

So though that combination, you're looking for that sweet spot of something that you do frequently that takes your time and um you know is not maybe not something you could put another filter on there of something you don't really enjoy doing, or you know that you don't have to like it doesn't take a human to do it. It doesn't take it's busy work. That's what busy work is, right?

Carolyn Woodard 15:14

The next tip is to pick just one. Uh you're not gonna organize your whole inbox, you're not gonna create a workflow for like your entire asana or your Monday or whatever it is. You're choosing one task that has showed up in those filters, right? You do it frequently, uh, it's time consuming and it's busy work.

Carolyn Woodard 15:34

Write down what success would look like in a single sentence. What would it look like if you didn't have to do this, if it were quote unquote done for you? And then, you know, go from there.

Carolyn Woodard 15:46

And that's when you start talking to your AI tool of choice, whichever one you use, um, and you ask it, like, hey, I've got this problem and I'm thinking about it. What do other people do in this situation? Or what do you advise? What can you come up with, some ideas that we could do together to tackle this problem of this task so that it gets into your own end state that you just wrote down, what success would look like. You work on it with your AI.

Carolyn Woodard 16:15

Now, this can be over several weeks, right? You've got that hour blocked out per week at a time that works for you. And you the great thing about AI compared to an associate, a colleague, is it doesn't care if you go for a week way for a week and come back and you're like, hey, where were we when we left off? You know, like what can you tell me? I've had these other thoughts in the meantime, you know, I was thinking about this, you know, let's let's uh reconnect and start up again on this on this project. And it can just, you know, stay dormant indefinitely. Uh it's one of the great things about AI compared to a human human colleague.

Carolyn Woodard 16:49

And then, you know, you you're gonna build this thing, you figure out if you listened to my uh webinar uh um a month ago uh about our AI test case, uh where we were talked about building the data lake. Um if you need a tech coach, uh, you know, a person in addition to the AI, working with the AI, uh, just to make sure you're on the right track. Um, security, if you have questions about that, you know, which tool you're allowed to work with, if you're gonna let it look at your emails, like is that, you know, what is the policy for that, those sorts of things.

Carolyn Woodard 17:23

And then, you know, pilot it. Just like I said, we've chosen one task and you're gonna, you know, do what you can to check it before you, you know, run it.

Carolyn Woodard 17:32

And just it's gonna, my experience with AI tools is that it's gonna not be great the first time, and you're gonna refine it over time. And the tool itself is gonna help you refine itself, like, well, I ran it this way, but that's not really what if we did it this way? What if we add on this and additional instructions to myself? Or, you know, like you give it feedback and you're like, well, this came out this way, but I was thinking I wanted it, or I've changed my mind. I wanted it to be this sort of thing. And then you refine it over time.

Carolyn Woodard 18:01

And then you, I would say, you know, you don't let it run unsupervised. Um, you can schedule tasks in most of the AI tools, um, and you can build in parameters to it. So it has to ask you for permission to access your inbox, or it has to ask you for permission to access a folder that it does something in. All those sorts of things.

Carolyn Woodard 18:21

And give yourself a realistic timeline, like maybe a couple of months. Um, it might surprise you. It might be like, oh, there's a tool I looked online and there's a tool that does this, and it's free for nonprofits, and you just hook it up this way, and there you go. And you're like, oh, I was struggling with this task for all this time and it was that easy. Or it may be something that takes a couple of months to build, test, refine, come back to it, do more research, test it again, all those sorts of things.

Carolyn Woodard 18:49

But carving out the time, I think is that first step. And like I said, you know, AI tools make it really easy to chunk things into doable tasks. And like I said, they don't care if you go away for a while and come back and want to start up again. Um, they haven't gone off and done their own project. They're not mad at you because you never finished that thing. They're just there waiting. Like, ask it again. Like, okay, I want to come, I'm ready to come back to this now. And I think we could run it this way, that sort of thing.

Carolyn Woodard 19:17

I want to put in a quick note. What if you don't know what your organization's AI policy is? You know, we have all these statistics from these different studies that 90% or more of nonprofits are using AI. A very small percentage of those have AI policies in place, or have, you know, an executive team, have the AI, you know, friend and translator, the guru or um, you know, an official person that's in charge of AI at your organization, you know, which is a best practice.

Carolyn Woodard 19:47

But if you're not there yet, I wouldn't, I would say don't let that stop you from doing this audit, from finding, going through what do you do every week, what do you think is a good candidate, and starting to do the research into it. Of course, the audit itself, you know, you're just doing, you're just looking through your tasks and making a list for yourself and running these filters through it. So, you know, what matters is when you're you know what task you're gonna tackle and you start using the tool.

Carolyn Woodard 20:19

Before you run something through an AI tool, especially of course if it's uh donor or client data, anything that you just get your little spidey sense comes up and you're like, huh, this might be private information or you know, like internal information. I'm not sure if I should put that in ChatGPT. Um, so you need to, if no one's told you you can't do that, that's not exactly a green light, right?

Carolyn Woodard 20:43

So you need to, you know, just ask around, ask your manager, ask your executive director, hey, what is our AI policy? I have this task. Like you then at that point you've already got your argument, right? Like I have this task, it takes me an hour a month, and I think it could be automated, and I want to know, you know, like where do I go from here? I want to use this tool, I think it could do this thing. Um, how what do I do? How do I go forward?

Carolyn Woodard 21:09

And you know, half the time, more than half the time, I think the person you talk to is gonna be like, oh my God, that's amazing. What do you need to be able to do this? Like, let's figure it out, right?

Carolyn Woodard 21:19

So uh you might need to talk to your IT people, you might need to talk to your executive director, you like I said, your manager. Um, if there's truly nothing written down anywhere, you know, like you asking the question is gonna raise it of what are our principles? Um, you know, what where can I move forward? How can we do this securely?

Carolyn Woodard 21:39

We have, of course, our AI Acceptable Use Policy template. You can download that, adapt it to your own organization.

Carolyn Woodard 21:47

So that is, I think this is the sequence that I would use to, like I said, try to carve out that time to investigate while you're flying the plane what could be automated and how you would do it.

Carolyn Woodard 22:00

And there may be something like you may be in an organization that's already identified. We're on Microsoft, we're using Copilot. Copilot is approved for everyone. It comes up, you see the little icon, you know, when you're in Word or Excel or wherever it is, and that's allowed. So if you are in the Microsoft camp, Copilot camp, there is a great case study that TechSoup did. I will share this, all these resources in the show notes. Using Copilot to draft emails, transcribe meetings, and do funding applications. You know, it kind of feed into the application. So then at the end, after using these tools, the human is the one who does the final edit and then submits that application. So I'll share that with you.

Carolyn Woodard 22:43

Of course, all of these, you know, are very vendor-centric. They're part of their marketing. So Copilot is like, look, you can use this to do these things as a nonprofit. Surprise, surprise.

Carolyn Woodard 22:53

Gemini also has several nonprofit success stories on their website about different organizations. And they have different case studies of how they've used Gemini to save time doing their nonprofit things that they do.

Carolyn Woodard 23:19

And then Anthropic Claude also has a case study on their site, also with the Brian Impact Foundation in Korea, which uses Claude to review fellowship candidates. And so they were able to increase the amount of applications they could review without adding staff. So they do, you know, the first run and then the people in the loop do the final reviews.

Carolyn Woodard 23:47

So different companies, self-published, self-interested stories of case studies and use cases. But I just mentioning this because you'll find a lot of this type of material out there. And so if you're kind of,

Carolyn Woodard 24:01

I think the best step still is start with your own workflow. Go back, you know, and look at last week and see what you did, or maybe you already know, really, like it jumps out. You don't even have to do the research of something you would like to automate.

Carolyn Woodard 24:13

But if you're looking for, like, well, what did other people do for these productivity gains to help them work smarter, faster? Hopefully, not over time, um, because the AI is helping them more. Uh, there are those case studies out there, you just need to have a look.

Carolyn Woodard 24:31

This story, just as I was sitting out to record, I got this uh email from um the Chronicle of Philanthropy about GitLab Foundation, um, which had a uh has an AI for economic opportunity fund created with uh Annie E Casey Foundation, and they uh have brought their 15 you know founding grantee organizations to DC last week. And so there's this report on them, and there were a whole bunch of you know people there, foundation program officers uh from big foundations, and they so from this also they have a bunch of um use cases. Uh a lot of this was more around mission delivery, so using AI to do what your foundation what your nonprofit does better, you know, quicker, differently.

Carolyn Woodard 25:22

So not as much on the productivity issue, but one of the really interesting things in this article that jumped out at me was that Elizabeth Nash from Annie E Casey Foundation um talked in the article about slowing down to build tools like this and giving yourself the time, carving out that time to you know think of uh investigate, research, and implement these types of projects.

Carolyn Woodard 25:50

And that also goes back to what Harvard Business Review talked about, um, building the automation to save you time. Is that just going to encourage you to spend more time on more things and lose like you're not gonna gain that um time back? You're it's gonna fill up with other things that you do or with more AI work that you're doing. Because once you start working with it and see what it can do, it's that AI literacy starts sparking different ideas of where you could use it in other places and how it could really benefit your organization.

Carolyn Woodard 26:28

So worth taking that uh deep breath. And if you get really in working, jamming with your AI tool to make sure that you take time to, you know, touch grass, as the kids say, uh, look out the window, refocus your eyes, get up and walk around, uh, and um make sure that you're still spending a reasonable amount of time at work and having you know plenty of personal time and de-stress time because uh even with the AI tools, we know that stress is a real, stress and burnout are huge issues in nonprofits and nonprofit tech right now. Um, so make sure that you're taking care of yourself.

Carolyn Woodard 27:04

I'm gonna include all of these resources in the show notes. Um, thank you so much for listening. I hope this was helpful, some helpful thoughts and musings.

Carolyn Woodard 27:13

You can catch us again, of course, on Friday with our regular tech topic podcast. And this week, actually, uh tomorrow is our webinar. This month at Community IT, there is still time to register. We're going to be talking about growing IT management capacity at nonprofits and speaking to funders and to nonprofits. This is a lever that we have seen over and over again in our clients in 25 years of working with nonprofit clients that it makes a huge difference, the management capacity at the nonprofit. So it's not just tools, it's not just money for licenses. I mean, it may not just be the uh trust-based philanthropy and um operational expenses uh and unrestricted funds.

Carolyn Woodard 27:59

It really is building this mindset that the IT management is uh strategic and an executive level function, and that when you have that doesn't need to be a technology techie person, but it needs to be managed, and that the better you are able to manage whatever IT you have, uh the more functional and the more impactful your organization is gonna be. So we see this as a lever that uh foundations and funders could really could have been using and can use going forward to help those grantees really make more of an impact because they spend less time worrying about their IT. So uh we're gonna be talking about that on Wednesday.

Carolyn Woodard 28:40

As I said, you can still register and uh we will be back on Friday with that part one in the podcast if you want to just uh have a listen to it. And then of course I'll be back here Tuesday next week with more nonprofit AI news and uh tips. So until then, take care.