AI strategy for nonprofit leaders is no longer a future-planning exercise. AI is already influencing fundraising decisions, staff workflows, donor research, website visibility, and how prospective supporters evaluate nonprofit organizations.
Darren Richards, Founder and Director of Charity AI Partners, explains why the central AI issue is not choosing the newest tool. It is exercising sound leadership judgment.
“The tools aren’t the problem,” Darren tells us. “The issue is where you do and don’t use it. Where are the red lines?”
Darren introduces three ways nonprofits can apply AI: predict, iterate, and automate. Predictive AI can analyze donor data, identify supporters at risk of lapsing, and improve campaign segmentation. Generative AI can adapt a case for support for different funders and audiences. AI agents can assist with research, analysis, writing, and routine administrative work. But capability does not equal permission!
Nonprofit leaders must establish clear guardrails around donor data, communications, staff responsibilities, approvals, and the activities that must remain human. Darren’s operating principle is direct: “Governance before gadgets.”
This lively conversation also examines a major change in nonprofit visibility. Donors are increasingly asking AI systems which organizations are credible, efficient, local, or trustworthy. Those systems may answer without sending the donor to the nonprofit’s website!!
That makes traditional SEO only part of the equation. Darren explains the growing importance of generative engine optimization and answer engine optimization, including clear question-and-answer content that helps AI systems interpret an organization accurately.
The fundraising opportunity is significant. . . . . Darren shares an example of a children’s hospital that used AI to increase an appeal’s return from 2-to-1 to 6-to-1, raise the average gift by nearly one-third, and mail half as many people.
The goal is not fundraising without people. It is removing repetitive work so fundraisers can invest more time in judgment, empathy, creativity, gratitude, and donor relationships.
Key Takeaways:
Establish an organization-wide AI strategy before expanding tool usage.
Use predictive AI to strengthen donor segmentation, retention, and campaign efficiency.
Protect donor relationships, trust-building, and sensitive conversations as human responsibilities.
Review what major AI platforms currently say about your organization.
Structure website content around the questions prospective donors actually ask.
Treat clean data, consistent messaging, and governance as prerequisites for successful AI adoption.