AI for Major Gift Fundraising: Why Your Hesitation Is the Right Starting Point

There’s a moment I hear about again and again from fundraisers. It usually happens somewhere between the third and fourth episode of this podcast. Something shifts. You stop asking “is this even relevant to me?” and start asking “okay, but how would this actually work in my portfolio?” That’s the move from theoretical to possible, and it matters.

But almost immediately after that moment, something else shows up. A different kind of voice. It sounds a little something like this:

I’ve never used AI before. I don’t know if my organization would even allow it. I tried ChatGPT once and nothing happened that I couldn’t have done myself. This feels like it could get really complicated, really fast. And I genuinely do not have bandwidth to learn a whole new system right now.

If you’ve thought any version of that, you’re not alone. And more importantly, you’re not wrong.

Here’s what I want you to sit with before we go any further: those aren’t the thoughts of someone who doesn’t get it. Those are the thoughts of someone who takes their work seriously. And in my experience, people who think this way are exactly who this approach was built for.

The “Yeah, But” Moment Is Actually Important

Let me be direct about something. The concerns I just described? They’re not obstacles. They’re signals.

Every one of them is pointing to something real about how fundraising actually works, what’s at stake when you’re managing a major gift portfolio, and why the people in your world — including your donors — deserve more than a half-considered experiment.

Think about what you’re protecting when those thoughts come up. You’re protecting donor trust. You’re protecting your institution’s credibility. You’re protecting your team’s judgment and relational skills. You’re protecting years of carefully built relationships that don’t have a backup copy.

That’s not resistance to change. That’s discernment. And discernment is one of the most valuable things a major gift officer can have.

The real problem isn’t that fundraisers are asking these questions. The problem is that most AI tools and training aimed at our sector were designed by people who have never worked inside a development office. They don’t understand that you can’t just “test something and see what happens” when what’s being tested is a donor relationship. They don’t understand that ethical practice in fundraising isn’t a checkbox. It’s the foundation the whole thing is built on.

So when I was building out my own approach to using AI in major gift work, I didn’t try to push past those concerns. I built into them. Because the moment I started treating those questions as design requirements rather than problems to overcome, everything changed.

The Five Concerns That Shape How This Has to Work

Let me take each one seriously, because once you see what each is really pointing to, something useful starts to emerge.

“I’ve never used AI before.”

This is the most common starting point, and it’s also the one that surprises me most. The people who come in with no prior experience almost always move faster than anyone else once things click. Here’s why: they haven’t already formed habits around using AI the wrong way.

When you haven’t used AI before, you’re open. You haven’t already decided what it can and can’t do based on a mediocre experience with a free chatbot. You’re willing to learn the right way from the start. And in major gift work, that matters enormously, because the goal isn’t to use AI. The goal is to use it in a way that supports relationship work, not one that substitutes for the judgment and relational depth your donors expect from you.

Not having used AI before isn’t a disadvantage. It’s a clean slate.

“I don’t know if my organization would allow this.”

This question deserves a real answer, not a dismissal. Yes, there are real considerations around data privacy, donor information, and institutional policy. Those aren’t paranoid concerns. They’re appropriate ones.

What’s worth understanding is that most of us are already working with cloud-based systems every day. Your CRM, your email platform, your prospect research tools — all of them involve data, servers, and third-party access. The question isn’t whether to use technology. It’s whether to use it responsibly. That means understanding what belongs in an AI workflow, what doesn’t, and building an approach that aligns with your organization’s values, not just its policies.

This isn’t a reason to avoid AI. It’s a reason to approach it with a framework.

“I tried ChatGPT and it didn’t really do much for me.”

This one I understand completely, because I’ve been there. You type something in, it gives you something back that’s technically fine but completely disconnected from the actual donor you’re thinking about or the situation you’re navigating. You end up rewriting most of it. And you walk away thinking, “What was the point of that?”

That experience isn’t a failure of AI. It’s a failure of context. When AI isn’t connected to anything real — when it’s floating out there without the texture of your portfolio, your donor history, your communication style — it can only produce something generic. And generic doesn’t move major gift relationships forward.

The shift isn’t in using AI differently. It’s in building a system where AI has enough context to actually be useful.

“This feels like it could get really complicated, really fast.”

It can. If you try to do too much, too fast, with too many tools. And that’s exactly what most AI training in our sector asks you to do. Here’s another platform. Here’s another subscription. Here’s another thing to add to your workflow.

That’s not how our world works. We don’t have dedicated tech stacks and innovation budgets. We have limited time, small teams, and real fundraising goals. The complexity isn’t a feature. It’s a design flaw.

The approach that actually works looks like the opposite of that. One platform. Built around the specific friction points in your actual workflow. Not what someone decided you should need, but what you actually need to move your donors forward.

“I don’t have time to learn a whole new system right now.”

This might be the most honest thing a fundraiser can say, and it deserves an honest answer.

Your day is already full. Your work already matters. Adding something else to the pile sounds like exactly the wrong solution.

But here’s the distinction worth making: this doesn’t show up as something added to your day. It shows up inside moments you’re already in. When you’re preparing for a major gift visit. When you’re deciding which donors in your portfolio to prioritize this quarter. When you’re writing a follow-up and starting from scratch when you shouldn’t have to. That’s where this lives. Not as a new system to manage, but as support for the thinking you’re already doing.

Why Most AI Experiences in Fundraising Fall Flat

If I had to identify the single biggest reason AI fails fundraisers, it’s this: it gets introduced as a tool, not built as a system.

There’s a meaningful difference between those two things. A tool is something you pick up when you need it and put down when you don’t. A system is something that runs underneath your work and makes every part of it more consistent. Tools require you to remember to use them. Systems just change how things work.

Most ChatGPT-style experiences in fundraising are tool-level. You bring a task to the AI, it produces an output, you move on. There’s no continuity, no context, no connection to the rest of your work. And so the output always feels slightly off — like it was written by someone who sort of understands your job but not really.

Building AI into your work as a system starts with a different question. Instead of “what can AI do?” you ask: “where am I losing time and clarity in my portfolio, and how do I address that?” Then you build from there. One piece at a time. Starting with the friction points that actually cost you something: the hours before a major gift visit when you’re not as prepared as you want to be, the portfolio review you’ve been postponing because you’re not sure how to prioritize, the follow-up notes that take longer than they should.

When AI is built into those specific moments, it doesn’t feel like technology. It feels like having someone in your corner who actually knows your work.

What This Actually Looks Like Inside a Real Portfolio

Here’s what I watch happen when fundraisers stop asking “is this for me?” and start asking “where do I begin?”

The first thing that shifts is preparation. Instead of walking into a donor visit having done your best with whatever time you had, you walk in having done a thorough, synthesized review of the relationship: what’s been discussed, what’s been given, what the next right step might be, and why. Not more work. Better work, done faster.

The second shift is follow-through. Post-visit notes, next steps, pipeline updates. These stop falling through the cracks because the system makes doing them almost as easy as not doing them.

The third shift, which takes a little longer to name, is confidence. When you stop guessing about what to do next and start moving with clear rationale, you show up differently in every conversation — with donors, with your board, with your team.

A Story That Stuck With Me

One of the people I’ve had the privilege of working with is Sean, a board member at Honor Flight of Northern New Mexico. When Sean started, his first instinct was exactly what I’d expect from someone who cares deeply about doing things right: “I’ve never used AI before, and I really don’t want to cross any ethical boundaries.”

That’s not a bad starting point. That’s a great one. It means he was thinking about this the right way from the beginning.

A few weeks in, the tone had completely shifted. The way he talked about his work went from careful and uncertain to genuinely excited. Not because he stopped caring about ethics, but because he could finally see that the right way and the AI-supported way were the same path.

The people who think they’re farthest behind when they start are almost always the ones who move fastest once things click. Because they’re not trying to unlearn bad habits. They’re building something new from the ground up, with the values they already have, not despite them.

You’re Not as Far Away from This as You Think

When you look at all of those concerns together, something becomes clear. They’re all pointing to the same thing: you care about doing this work with integrity. You care about your donors. You care about your institution. You care about your team. And you don’t get the luxury of experimenting with things that don’t actually work.

That’s not a reason to hold back. That’s the reason a thoughtful, fundraising-specific approach to AI actually works — and why a generic one never will.

This isn’t about becoming a technology person. It’s about finally having a system that supports how you already think, so that the clarity you’re capable of isn’t constantly fighting against the volume of your day.

When that layer of uncertainty and guessing starts to fall away, everything shifts. You move from reacting to leading. From feeling behind to feeling in control of what’s happening inside your portfolio. That’s a different experience of this work — not because you became a different kind of fundraiser, but because you finally have something working with you instead of against you.

If you’re ready to stop circling around this and build it into your actual work, I’d love to have you in our next cohort. Learn more and join the waitlist at letstalkfundraising.com/majorgifts. There’s a clear path forward, and if you’re ready for it, let’s walk it together.