The Nonprofit’s Guide to AI in Fundraising (And Why It’s Still All About People, Not Robots)

Are you excited about the possibilities of using AI technology in your nonprofit fundraising? How about … nervous? Ambivalent? Are you angry at the idea that someone would even suggest you do such a thing?

If we had to guess, the answer would… any of them! Because when you look at the data on how people feel about AI in the nonprofit sector, the results are mixed. 

Research has found that 75% of nonprofit staffers believe generative AI can transform their org’s marketing, but that 65% of fundraisers remain hesitant to use it for donor communications because they’re worried about coming across as robotic.

And they’re exactly right to worry about that! Because regardless of how you personally may feel about the AI fundraising tools and features being introduced for nonprofits (or how you feel about AI more generally), it’s clear that turning donors off with inauthentic, AI-driven interactions is one of the greatest dangers they pose.

On the flip side, the great promise of AI fundraising for nonprofits is that it can help fundraisers build more personal connections with their donors by giving them the time, the insights, and the support they need to strengthen those relationships person-to-person. 

That last part might not seem super obvious, but that’s why we’re here. In this guide, we’ll cover the basics of how AI can help nonprofits improve their fundraising, how nonprofits can make sure they’re using AI in fundraising both effectively and safely, and provide some tips for how your nonprofit can start fundraising with the support of AI today.

How Does AI Help Fundraisers?

AI tools help nonprofit fundraisers in three primary ways: By saving them time on important but tedious admin tasks, by providing better data analysis, and by assisting them with personalized communication journeys that keep donors engaged in between the big moments. 

Here’s a bit more about those three pillars: 

1. AI Buys Back Your Time 

These tools can handle a lot of the tedious stuff—like the first email drafts, updating donor records, reformatting spreadsheets, etc.— that are undeniably important but that eat up a ton of time in your day. 

With AI taking all that off your plate, you can spend more time on the phone, meeting up for coffee, attending community events, even writing handwritten thank-you notes. It’s the interpersonal stuff that you are great at and that your supporters, big and small, respond to.

Out of all the “use cases” for AI, saving time is the one that people are most familiar with. But for fundraisers, spending that extra time you get back on the face-to-face parts of their job is the key. 

2. AI Gets You Ready for the Big Conversations 

When you’re talking with a donor, it’s your job to treat them like they’re the most important person in the room. And that means remembering a lot of stuff about their history with your nonprofit that you might not have immediately at hand.

That’s why you prepare before these big conversations by studying up on your donor (or donor prospect) and reviewing their history with your org. So that when the time comes, you can know what interests them and what specific activities to reference, 

An AI tool like Gen, the AI Assistant currently being rolled out within Neon CRM, can help you do all that in a flash. It can look at a donor’s profile in your system and summarize their full history together with your nonprofit—what they’ve given, when they showed up, what they said last time.

With AI at your side, you can walk into your next donor conversation fully prepared, and maybe with an extra insight or two that you wouldn’t have noticed if you had simply read over  their profile yourself. 

3. AI Keeps Your Donors Engaged 

Most of your relationship with a donor happens in between those big, person-to-person moments. During that time, personalizing your outreach plan for them—an email that remembers their last gift, a text about an event that fits their interests—keeps them engaged in your mission and with your org. 

There are already ways to do this without AI: You can populate gift information by syncing your email with your CRM (or using a CRM that has email built in), and you can create different donor segments for different interests or programs. 

But AI can still help you do all of this faster and better. It can help you plan and write entire email journeys. It can analyse supporter data to uncover new segments. If you’re comfortable using AI agents, they might even be able to  build entire automated workflows in your system. 

Just remember this: You can create a wonderful series of emails perfectly geared towards a donor’s interests, but it’s those personal moments of connection that will be the real difference-maker. 

These personalized communications and donor journeys are what keep your donors engaged with your work in between the big moments. But for those moments themselves, it’s gotta be people-first. 

What Kinds of AI Tools Are Available to Nonprofits?

AI has become such a popular buzzword that it feels like it’s becoming meaningless. So let’s lay out a few specifics.

First, you need to know that there are two kinds of AI. There’s Generative AI, and there’s Predictive AI. Here’s a bit more about each. 

• Generative AI: This is the hot new thing, and it’s powered by Large Language Models (LLMs).  It’s called “generative” AI because these programs can actually create content like emails, captions, scripts, images, and videos. Like predictive AI, LLMs can analyze data that you give it, but its creative capacity means it can also hallucinate answers that were not in that data set.
• Predictive AI: This is the old-school form of AI, and it’s powered by machine learning. Predictive AI can analyze the data you provide and identify trends, opportunities, issues, etc. Because predictive AI has no generative qualities, it cannot hallucinate findings like Generative AI can. 

Next, there are the different kinds of AI tools, which we sort into three main buckets:

General-Purpose LLMs 

These are your ChatGPT, Claude, Gemini, and beyond. They can do a bit of everything, and they all come with (very limited) free versions. Tools like these can be useful to help draft basic emails or initial campaign plans, but for anything more detailed, you’re going to need to pay.

Here’s an important thing to note: You should never put confidential data into one of these tools unless you have a business or enterprise account. You can learn more in the next section on AI policies.

Specialized AI Tools

Beyond your general-purpose LLMs, there are a bunch of other software tools that are built to perform a narrower set of tasks and perform them well. Some of these are specific to nonprofits, while others are not.

Two examples of nonprofit-specific tools are Grantable and Dataro. Grantable’s LLM-powered AI grant writing assistant helps nonprofits create stronger grant applications faster, while Dataro uses predictive AI to provide fundraisers with better analysis and clear, actionable next steps.

(In case you’re wondering, neither Dataro nor Grantable are partners of ours, so we’re not advocating for—or advocating against!—their services. We’re just identifying them as two prominent, AI-powered tools designed specifically for nonprofits.)

On the non-nonprofit-specific side of the ledger, you have tools like Grammarly, which helps you improve your writing; Otter.ai, which records, transcribes, and summarizes video recordings; and Canva, which has AI-powered capabilities within its broader design toolkit (and offers free accounts for nonprofits!).

Native AI Tools in Nonprofit Software 

These are the AI tools that already live within the system you’re using, whether it’s an all-in-one CRM like Neon One, fundraising software like Givebutter, donor prospecting platforms like Windfall Data, a DAFPay tool like Chariot, etc. 

When in doubt, these are going to be the best tools for you to use because they are going to be working off your existing supporter database. Not only does that mean that your nonprofit’s confidential data gets to stay within your ecosystem, but that more limited dataset means that the chance of hallucination from any LLM-powered features is much lower. 

You’ll still want to evaluate these tools thoroughly before putting them to full use. For example, is that built-in writing assistant just a surface-level LLM feature, or was it trained on nonprofit email best practices? Don’t let convenience trump quality too easily. 

If you’d like to learn a little bit more about how tools like this work, how they’re built, and how we’re ensuring that the tools we create here at Neon One are both safe and effective, you can check out this recap from our recent AI webinar. 

What Should Your Nonprofit’s AI Policy Cover?

Here’s a question worth asking before you touch any of the tools above: Does your nonprofit actually have an AI policy, or is everyone just quietly figuring it out on their own?

If it’s the second one, you’re far from alone. And that’s exactly why this is such an important issue to address. This is a gap that could get organizations, especially small ones, in trouble, so let’s collectively nip it in the bud before rogue AI use spreads any further than it already has.

Here’s some welcome news: Your AI policy doesn’t need to be complicated. It needs to answer one question clearly enough that nobody on your staff has to guess: What’s okay to put into an AI tool—specifically, what is okay to put into a general-purpose LLM like Claude or ChatGPT—and what isn’t?

And here’s what your answer should be: If the task involves confidential information—like donor data, transaction records, gift history—getting pulled out of your CRM or fundraising software and placed into an LLM tool, then it needs to be in a business or enterprise AI account. That’s the only way to ensure your data is fully protected.

If you are using a personal LLM account, that data is not protected, even if you flip the “don’t train your models on my data” switch. A business or enterprise account comes with a data agreement that a free ChatGPT login simply doesn’t have

This single rule, written down and actually shared with your team, is the core of the policy. 

Beyond that, your policy should address the ins and outs of how AI-generated content is shared with the public. It should contain a process for reviewing AI-written content, hard-and-fast rules about AI-generated imagery (our take on that one is “don’t do it, ever”), and a note that anyone caught using AI video avatars in donor communications will be abandoned on a remote island somewhere off the coast of Newfoundland.

Okay, maybe not that last one. But when it comes to using AI to preserve and support person-to-person connections, using AI to make a fake video of you directly addressing a donor is … the opposite of that.

Getting started doesn’t require a committee or a six-month process (if you’ve ever served on a committee, you know those two things are synonymous). All you need, really, is three things:

1. You need to pick which AI accounts are approved for use with supporter data.
2. You need to write down the one-sentence rule above about where and when staffers can use that data and AI.
3. You need to share it somewhere your team will actually see it. Whether it’s a shared doc, an onboarding packet, a pinned message, or something else entirely, pick whatever gets read. 

Once you have that in place, you breathe a little easier. And then you can get to work on the rest.

FAQ: The Basics of AI in Fundraising

There are a lot of ins and outs to how AI and nonprofit fundraising fit together, and we’ll dig into the bigger ones below. But first, let’s knock out the questions we get asked the most.

What are the best free AI tools for nonprofits?

The general-purpose LLMs we covered above — ChatGPT, Claude, Gemini — all have free versions, and they’ll handle a first draft of an appeal, a batch of social captions, or some grant language just fine. Canva also offers free accounts to nonprofits, and there’s AI built into their design tools.

Two caveats, though. First, you’re editing anything that comes out of these tools before a donor ever sees it, because that edit is where your organization’s actual voice shows up. Second, free and personal accounts don’t come with a data agreement, so nothing confidential goes in.

How can AI avatars enhance video fundraising?

They don’t! Please don’t use them.

It’s the “uncanny valley” effect at its finest. A synthetic face reading a script at your donor is juuuust close enough to a real thank-you video that people will be really put off by the fact that it’s not a real person doing the thanking—and that’s only thing they’ll remember afterward. If a message is worth putting on video, it’s worth putting a real person on video.

Can AI help with major donor cultivation?

Yes, mostly on the front end. Wealth screening and capacity scoring can tell you who to call first, which is a real help when your prospect list is a lot longer than your calendar. As the conversation nears, you can use AI to help summarize their history with your organization for your notes. 

Can AI predict someone’s giving capacity?

It can estimate it, based on that donor’s own giving history plus public data. That’s a useful head start, and it beats guessing, but you’re still the one who should be reaching out, having the conversation, and making the ultimate ask. 

Should I use generative AI to write appeals or grant applications?

For a first draft? Absolutely, go for it. This is one of the best uses of these tools.

The thing to watch out for is leaving that draft untouched. A donor or a grant manager who can tell your appeal was written entirely by AI—especially as they are receiving more and more of them all the time—may lose a little trust in you, and that’s not always something you get back.

The final version has to be yours. 

Does AI work for peer-to-peer fundraising?

It does, mostly by helping your participants get started. A blank text box is the number one reason somebody signs up for your P2P campaign and then never actually launches their page.

Give them an AI-drafted opening paragraph to customize for themselves  and a lot more of them will finish. Same rule as always: draft with AI, finish in your own voice.

Can AI help with donor retention?

Yes, and this is predictive AI’s home turf. These models can flag donors who look like they’re about to lapse well before that shows up in your quarterly report.

What you do with that flag is the part that matters. When in doubt, start with a phone call. 

Should AI write my stewardship or thank-you messages?

No. It should not. AI’s job in stewardship is making sure you never miss a big moment like a first gift or a lapsed donor’s anniversary. Once the occasion is marked, you have to be the one to show up, in your own words, to make the connection.

Can AI help with event and auction fundraising?

It can, mostly with logistics: event copy, auction item descriptions, reminder sequences. Draft all of it fast, edit it by hand before a guest sees it, and then spend the time you saved actually planning the details and, when the day comes, working the room.

How Can AI Help Me Raise More?

There are so many ways that AI tools can help nonprofits improve their fundraising that it’s helpful to break things down into a couple main categories.

First, we’ll start with the obvious one. Obviously, all the AI capabilities that we’re discussing will help you raise more in the long-term through stronger donor relationships and improved retention … but how can AI help you raise more right now? 

Intelligent Donation Amounts

When you’re creating a donation form, you create suggested donation amounts that correspond to your average gift size to help reduce decision fatigue. 

If you’re really cooking, you can create individual donation pages for different donor segments with suggested gift sizes tailored to that group’s giving history.

Or, you can just have intelligent donations do it all, do it better, and do it faster. 

When a donor visits our form, this feature reads their individual giving history and behavior, then creates a custom suggested donation amount just for them.

So a donor who’s given you $25 a month for two years sees a different suggested amount than a first-time visitor who just clicked in from a Facebook ad. It not only increases conversion rates on your form; it makes sure you’re not losing dollars by undershooting your ask. 

Wealth Screening & Capacity Scoring

Wealth screening and capacity scoring do much the same thing as intelligent donation amounts, just from your donor’s side instead of your donation form’s. The goal is to estimate what somebody can actually give, and then size your ask to that instead of to a default.

With these tools, you get access to external data. Public records and third-party data sources fill in a donor’s likely giving range, so you’re working with more than just what’s already sitting in your CRM.

That’s how they help you catch the capacity your own profile analysis would have missed. A donor who’s given modestly for years but has real capacity will never surface if you’re sorting by past gift size. These tools will find them.

Supporting the Human Connection with Fundraising

With all of these, the most important work is still happening before the appeal is made. A tailored ask amount still has to land inside an email your donor believes you wrote for them, and your capacity score still has to turn into an actual phone call made by an actual person (you).

AI picks the number to ask for, but it’s the connection you make with the donor that produces a gift.

How Can AI Help With Donor Communications?

With the rapid advances and wide availability of LLM technology, it’s important to remember that the most important word in the sentence above is “help.” AI is helping you with these communications; it’s not taking them over entirely. 

That’s why the best use of AI for composing donor communications is to have it quickly draft the shell, so that you’re editing something instead of staring at a blinking cursor. 

Here’s what that looks like in practice:

Give your AI tool one of your campaign goals, your audience, and your tone, and you’ll get a draft back. Ask for three tones, and you’ll get three drafts to route to three segments, in about the time it would have taken you to write one

This increased speed will let you do things like experiment with different tones for different segments. Have it draft multiple versions so you can compare. If you have the capability, you can A/B test them with different sections of your segment to see what performs the best. 

For peer-to-peer fundraisers, AI can write an opening paragraph for each fundraiser’s page, which solves the blank-page problem that stops so many participants from ever getting started. But the most important part is going to be what they add to it. 

Using AI to better personalize your messages can be a huge step forward for your org’s fundraising, but personalization takes time, and time is something you don’t have in spades. While you can’t fully outsource your personalization efforts to AI, these tools can help you do far more than you could by hand. 

Supporting the Human Connection With Donor Communications

Here’s a handy template for you:

• Step 1: Draft with AI
• Step 2: Finish the draft in your own words.
• Step 3: Send. 
• Step 4: Swear an oath that if you ever skip Step 2, you will [insert unspeakable punishment here]. 

The moment a donor-facing message goes out exactly as it was generated, your time-saver has turned into a time bomb. It’s only so long before the email you didn’t bother to write becomes the email your donors can’t be bothered to read.

Always make sure a person reviews and edits your communications before they are sent. Every time. No exceptions. 

How Should AI Handle Donor Stewardship?

In the previous section, we covered how AI can help you personalize your communications. And that’s a big part of good donor stewardship! 

But AI tools can do more than that, especially if they’re ones built for data analysis. They’re not writing your thank-you notes here; that’s still your job. Instead, they’re watching your donor data for the moments when you need to show up.

Here’s what that looks like:

● Lapse detection. These tools can identify a donor whose giving and activity quietly tapered off, long before your quarterly report would ever surface their loss. This gives you a chance to reach out and re-engage them. 

● Renewal tracking. AI can catch a missed renewal date early enough that reaching out still feels timely instead of reactive. Plus, reaching out so quickly to check in will make them feel valued. 

● Anniversary flags. Surfaces the date of a donor’s first gift so that milestone doesn’t slip by unmarked. It could even identify a big date that’s only recorded in a note on their profile.

Supporting the Human Connection With Donor Stewardship

Again, the AI should be flagging the trend, but it should never be the one reaching out. A donor who is at risk of lapsing and receives a clearly automated message—or worse, one of those video avatars—is going to want to get gone and stay gone. 

How Does AI Help With Major Donors?

Even though major donor relationships are ones that live almost entirely in the 1:1 realm—it’s in-person chats, phone calls, and handwritten thank you letters rather than newsletter lists and general appeals—AI still has a role it can play.

In fact, there are several areas of major donor fundraising where AI can help out.

Prospect Scoring

We talked about AI prospect scoring earlier in this article, but its importance is exponentially greater when you’re dealing with high-dollar givers.

AI scoring tools like wealth screening, capacity scoring, and affinity scoring use a combination of public data and your own giving history. help you identify potential new givers and even rank your existing donor file by estimated giving capacity, 

With major donors, those models can help you home in on individuals that could make a massive difference to your mission. 

There is a catch worth knowing about, though. And that’s that leaning too much on major givers is a risky spot for most nonprofits. One rich guy changes his mind, and it blows a hole in your organization’s revenue plan.

These tools support that outlook, and by only looking at gifts, many of them quietly under-rank the donors whose generosity shows up as volunteer hours instead of check size. By default, you want to be careful not to alienate your supporters who, when engaged in greater numbers, could form a much more stable base of support. 

Conversational Summary Tools

Tools like Gen, Neon CRM’s conversational AI assistant (currently being tested and refined with nonprofits like yours), solve your preparation problem instead. 

Gen pulls gifts, events, volunteer shifts, and notes—normally scattered across five different CRM tabs—into a single summary you can read in the two minutes before your call.

It’s maybe the best example we have of AI that supports person-to-person connections, enabling you to have the best conversation possible with your major supporters (and any of your supporters, for that matter). 

Supporting the Human Connection with Your Major Donors

A score tells you who to call, and a summary tells you what to say. Neither one is actually making the call or saying the things.

Treat every ranked list and every suggested next action as a starting point, not an instruction. And remember that your score and your summary still only catch who this person is. 

Do your prep, make your plan, then spend your conversation focused on them, not on anything else. 

What Are the Risks of Using AI in Fundraising?

We’ve already covered the dangers of removing person–to-person connections from your nonprofit’s fundraising at length. Still, there’s another risk that we haven’t really touched on yet: the perils of over-optimization.

Basically, if you use AI to turn your fundraising program into a lean, mean, donation-making machine, then what have you actually done to the donors making those gifts? You’ve turned them into ATMs. And, after a while, they’ll start to notice. 

Granted, some of what we’re describing here is a forecast of future events, not a report on past results. That’s because Generative AI tools haven’t been around long enough for these kinds of long-term effects to fully play out.

But there is one recent example we can point to where over-optimization has had negative repercussions: social media. 

Text-based social platforms like Facebook, Instagram, TikTok, and X (nee Twitter) have been doing this to their users for two decades on their own users: optimize every single touch relentlessly, and engagement climbs, climbs, climbs, as users feel worse, worse, worse.

The reason they did this was simple: Their users were not their customers. Advertisers were. Their methods were designed to drain their users dry of both their attention and their data. 

They weren’t (and still aren’t) treating them like people.

Okay. This might seem like we’re getting a little far afield here. What does this have to do with your fundraising campaigns?

It has to do with people. And with not losing sight of them. Really, it is the mirror image of using AI to remove the human fundraiser from the fundraising process, which is using AI to remove the humanity of the donor, too.

So, in other words, don’t let AI’s power to optimize lead you to start thinking about your donors as piggy banks to extract money from instead of people you’re building relationships with. 

Social media platforms were able to keep people around; it just made them more angry, cynical, and lonely. Your donors, on the other hand, will just leave. 

And on that happy note, let’s get into the ways you can start putting AI tools to work right now. 

22 Ways You Can Start Using AI in Your Fundraising Today

One of the main reasons AI tools have become so popular so fast is because the barrier to entry is basically nonexistent. Just sign up for an account, start a new chat, and get going.

In that spirit, we want to help you start using AI to improve your nonprofit’s fundraising ASAP, so we put together this list of simple but meaningful activities you can do right now. 

Just remember the one rule that still governs every single item on this list: if the task involves donor data, gift history, or personal information, it goes into a business account. Never into a personal login, and never into a free tier.

Now let’s get to it!

1. Subject line A/B variants. Generate a handful of subject lines for your next appeal and actually test them on different parts of your email list. Skip the guessing and let open rates decide the winner. 
2. Segment-specific appeal variants. Keep the core ask identical, and vary only the framing around it so that each one speaks to the interests of a different supporter group. 
3. Draft tone options. Ask for the same appeal in three tones — formal, casual, urgent t and use these as inspiration for what will best resonate with your audience. 
4. Social captions in bulk. Draft a big batch in one sitting, then pick the one that sounds most like you and edit it until it actually does sound like you.
5. Annual report summary. Feed in your annual report and ask for a one-paragraph, donor-facing version. Most people aren’t reading all forty pages anyway.
6. Year-end email plus a personal detail. Have AI draft the year-end email, then go back and add one specific detail per segment that speaks to their unique interests.
7. P2P starter templates. Hand over a fundraiser’s bio and ask for a starter page. Most people who abandon their own fundraising page do it at the blank text box, not later.
8. Capacity and affinity scoring. Run your donor file through a scoring tool and flag the major donors you haven’t talked to in a while.
9. Flag changed giving patterns. Set an alert for donors whose giving shifts, like they skipped a usual gift or gave more than usual. Either one is worth a phone call.
10. Score volunteers for conversion. Find out which volunteers are statistically likely to become donors, and start reaching out.
11. Mid-level upgrade candidates. Use giving-history scoring to find your best candidates for a mid-level program.
12. Test the AI-suggested ask against your default. Run both, compare response rates, and let the numbers tell you which one’s actually better. If yours wins, what did it say about your understanding of your donors that the AI missed? 
13. Stewardship touches versus retention. Track which touches—a call, an email, a handwritten note—actually resonate with different donor segments.
14. Stewardship touch calendar. Have AI draft one. Then assign a real person to every touch on it. Or, you can download our Donor Stewardship Planner and use that. 
15. CRM summary for your board. Turn your CRM data into a plain-language monthly report your board members will actually read instead of the spreadsheet nobody opens.
16. Internal briefing notes. Draft your notes before a major donor meeting, pulled straight from that donor’s history in your CRM.
17. Data-entry inconsistencies. Export your database and have the AI flag duplicate records and mismatched fields. 
18. Brainstorm campaign themes. Ask for ten ideas. Most of them will be forgettable or ones you’ve already done, but they’re a useful starting point for discussion.
19. Content calendar skeleton. Draft the frame of your content calendar with AI, then fill in the actual specifics like the dates, the topics, and the actual deadlines.
20. Repurpose a long-form story. Turn one good donor story into five shorter social posts instead of writing five separate ones from scratch.
21. Event reminder sequences. Draft your save-the-date, your week-before, and your day-of messaging in one sitting instead of three separate ones.
22. Auction item descriptions. Draft a batch, then edit each one for accuracy and voice. You’re going to be able to pick up on the real details of an item far better than the AI will.

What AI Tools Does Neon One Have? 

Yes, we’re building AI-powered tools into Neon One’s all-in-one CRM platform. The first ones are just starting to roll out, some are being tested by real nonprofits just like yours, and others are still being built.

But here are a few things that all of them have in common:

• Neon One’s AI tools are being trained on 20 years’ worth of nonprofit CRM, fundraising, and communications data.
• They are keeping your nonprofit’s proprietary data safe within your own database. 
• Our tools are being designed, first and foremost, to support the work of nonprofit staffers, not replace them.
• Everything we make is being built and deployed towards the goal of strengthening your org’s personal relationships with your supporters. 

In other words, our AI tools follow every principle we’ve laid out in this article. Fancy that.

Here’s a bit more about what’s already released and what’s going to be released in the near future. Beyond that, we’ll preserve a bit of mystery, thank you very much.  

The Generosity Indicator

This machine-learning feature has actually been live for a couple of years now. It scores affinity and capacity using your donor’s own gift and event history across any nonprofit that uses Neon One and scores their potential to increase their support. 

Intelligent Donation Amounts

This is a brand new feature to Neon CRM’s native donation forms. It uses a donor’s giving history with your org to offer personalized suggested donation amounts for them when they visit your form that will encourage them to give a little bit more than they have in the past. 

Gen, Neon One’s AI Assistant

This is our conversational AI assistant, currently in beta testing. Gen summarizes a donor’s full history—gifts, emails, event attendance, volunteering—pulled from one connected system instead of stitched together by hand. 

As for whether Gen will be doing more than this in the future … watch this space. 

What’s the Real Opportunity in AI Fundraising?

A year from now, AI will be even more embedded in your fundraising tools than it already is. But the nonprofits that actually come out ahead won’t be the ones with the most AI in their tech stack; they’ll be the ones who took what AI bought them—the time, the preparation, the warmth—and used it to sit across from a donor instead of a database.

Ready to figure out where AI fits into your own fundraising strategy? Sign up for our newsletter, and you’ll be getting some exciting resources to help you do just that. You won’t get them today, but you’ll get them very soon.