The major gift ask generates more anxiety than almost any other moment in fundraising. Development professionals delay, rush, or avoid the conversation entirely, because the fear of damaging a relationship we’ve spent months building is real. The stakes are high, and the preparation that most fundraisers can manage before heading out the door rarely provides the confidence to navigate the conversation well.
A relationship-building system changes the preparation entirely. Before a Thursday visit, the AI assembles a structured briefing covering the donor’s engagement history, themes from previous conversations, and a recommended approach. Sometimes the most valuable line in the briefing is the one that advises, explicitly, against making the ask at this meeting.
That recommendation comes from the donor’s own words and signals, entered into the file by the fundraiser over months of relationship building. The AI brought those observations forward at exactly the right moment. The preparation is the AI’s job. Reading the room, sensing whether the donor is ready, and deciding what to do with the briefing’s recommendation is entirely ours.
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In Holding Fire: A Skeptic’s Framework for the Fundraiser with AI at Your Side, Stephen Christopher Nill, JD, lays out the Human-Centered AI Framework—his five-principles approach to keeping humans at the center of every donor interaction, even as AI quietly does the work no one fundraiser could ever do alone.
This book was written by a skeptic, for skeptics.
When the AI Says “Not Yet”
Consider a fictitious donor we’ll call Dr. Sarah Huang, a pediatrician who has given $500 a year for four years, always designated to nutrition education. She sees the effects of food insecurity in her patients every day. She’s attended events, replied personally to emails, and mentioned wanting to do “something bigger.” Every signal points toward major gift potential.
Before Thursday’s visit, the AI assembles a structured briefing. It covers the meeting objective, four years of engagement history, themes from three previous conversations, and a suggested approach weighted toward 70 percent listening and 30 percent sharing. The briefing pulls from conversation notes the fundraiser entered after a coffee meeting in January, when Dr. Huang shared clinical observations about children with diet-related health issues that nutrition education could prevent.
Then it makes a recommendation that might surprise anyone who thinks AI is only about efficiency. The briefing advises against advancing to the design phase at this meeting. Dr. Huang’s “something bigger” comment signals she’s moving toward a deeper conversation on her own timeline. The right move is to create space for that conversation to happen naturally.
That recommendation came from the donor’s own words and signals, entered into the file by the fundraiser over months of relationship building. The AI didn’t guess that Dr. Huang cares about food skills versus food access. The fundraiser wrote that observation after a previous conversation, and the AI brought it forward at exactly the right moment. The preparation that makes each step possible is the AI’s job, and the relationship itself is the fundraiser’s.
Six Steps Where the Human Leads
In my book, Holding Fire, I walk through a six-step major gift process that moves through Connect, Understand, Discover, Design, Confirm, and Ask. Each step requires the donor’s signals of readiness before we move to the next. The process makes the eventual solicitation so thoroughly prepared that when the moment arrives, both the fundraiser and the donor already know what’s going to happen. The ask should contain nothing the donor hasn’t already discussed and informally agreed to across the preceding conversations.
I call this attuned fundraising. At each step, we advance only when the donor signals readiness, whether that signal is implicit or explicit. Only a human can truly read those signals, the body language that stiffens when a topic arrives too soon, the shift in conversation when a donor changes the subject, the quiet enthusiasm that says “tell me more.” AI helps us be more attuned by highlighting patterns in our own notes that we might otherwise miss, but the attunement itself is entirely human.
Attuned fundraising treats the solicitation as something we do with the donor. Insistent fundraising treats it as something done to the donor. The first produces partnerships; the second produces single transactions at best and damaged relationships at worst.
The anxiety that development professionals feel about the ask isn’t irrational. It comes from the fear of damaging a relationship we care about. The six-step process addresses that fear directly, because by the time we reach the ask, we’ve built it together with the donor across multiple conversations. The solicitation becomes a natural conclusion rather than a confrontation.
The Pipeline Where Preparation Compounds
Major gift fundraising is personal work, and it’s also a pipeline discipline. For every 100 prospects identified as having potential, roughly 50 will be worth an introductory meeting, and perhaps 25 will emerge as worth the sustained investment of time and relationship. Disciplined volume alongside relationship quality is the formula, and maintaining both sides of that equation across 25 or more active relationships is where AI makes a practical difference.
During the Monday morning review, a weekly 20-minute check of each active donor’s record, the AI walks through every prospect by relationship stage. Dr. Huang is in Discover, with a recommendation to schedule a follow-up after Thursday’s meeting. A six-year loyal donor whose family has a deeply personal connection to the food bank is in Understand, with a recommendation for a phone call to learn what motivates the continued giving and what the right next step might look like. For each person, the AI identifies the next conversation and how to prepare for it.
Every conversation enriches the donor record, and every enriched file makes the next conversation better prepared. Dr. Huang’s Thursday visit produces detailed notes about her vision for a community teaching kitchen, her emotional connection to families who struggle with cooking skills, and her exact words about wanting “a real kitchen space.” When the AI prepares the next briefing, all of this becomes part of the picture. The preparation compounds over time, and each layer of relationship knowledge makes the next step more natural and more likely to succeed.
This also means that when a fundraiser transitions to a new role, the relationship intelligence stays. The next person who sits down with Dr. Huang won’t start from zero. That continuity alone can save relationships that might otherwise be lost.
We recommend five hours a week for major gift work, and the AI makes those five hours far more productive. We walk into every meeting having reviewed a briefing that synthesizes everything we know about this person. We don’t spend the first 10 minutes trying to remember where things left off. After the meeting, three minutes of notes feed the system for the next round. The preparation is the AI’s job, and the relationship is ours.
Next week, I’ll explore what happens after the gift is made, and why the 30 seconds a fundraiser spends reworking an AI draft can turn a routine acknowledgment into something a donor will remember.
Stephen Christopher Nill, JD, founded CharityChannel in 1992, building it into one of the largest online communities of nonprofit-sector practitioners in the world. He has edited, designed, and published dozens of books for the nonprofit sector through CharityChannel Press. Over four decades, Stephen has built, administered, and advised fundraising programs in the United States and internationally that have raised billions of dollars. He has served as senior vice president of development at a hospital system, chief advancement officer at a West Coast university, director of development at a parochial school he helped to found, and founder and executive director of a charity that feeds the homeless in Southern California.
The Grant Professionals Association presented him with its first President’s Award. The Grant Professionals Certification Institute later honored him with the Pauline G. Annarino Award for foundational contributions to its existence. Stephen has been a frequent commentator on charitable giving for CNN, Fox News, MSNBC (now MS NOW), and other news shows.
He has provided training to attorneys on advanced charitable gift planning techniques on behalf of the State Bar of California’s continuing legal education program. As a lawyer and consultant, he advised hundreds of nonprofit organizations and educational institutions.
Stephen’s engagement with artificial intelligence reaches back to the 1970s, decades before the current wave. Holding Fire: A Skeptic’s Framework for the Fundraiser with AI at Your Side draws on that long history and on his career inside development offices.
He writes weekly to development professionals at charitychannel.com. These days he’s busy writing his first novel and composing symphonic music in his music studio.
