AI Mistakes to Avoid in Fundraising: The Big Five!
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AI in nonprofit fundraising strategy is transforming how organizations operate—but using it incorrectly can damage donor relationships and trust. In this conversation, Katie Gaston of Bloomerang opens the box with practical guidance on how to use AI effectively while avoiding the most common pitfalls.
Nonprofit professionals are increasingly turning to AI tools for donor research, reporting, and communications. The opportunity is clear: faster workflows, better insights, and increased capacity. But as Katie explains, AI is not a replacement for human judgment—it’s a tool to enhance it. “AI should be a supportive arm… but it should never replace your judgment as a fundraiser.”
From donor asks to personalized stewardship, the human connection remains at the core of successful fundraising. AI can prepare you for meetings, surface insights, and even recommend strategies—but it cannot replicate the emotional intelligence required in critical moments.
This episode also addresses key operational risks. Sending AI-generated content without review, relying too heavily on automated insights, and failing to maintain clean data can all create serious challenges. As Katie reminds us, “The quality of your data is what AI will know—garbage in, garbage out.”
You’ll also learn how AI can dramatically improve efficiency—reducing hours of reporting work to minutes—while freeing your team to focus on relationship-building and strategic thinking.
The takeaway? AI isn’t replacing fundraising—it’s redefining how effective fundraisers work.
00:00:00 Introduction to AI in Fundraising
00:03:10 Meet Penny: AI Fundraising Assistant
00:06:00 Why AI Should NOT Make Donor Asks
00:09:00 Reviewing AI Output to Avoid Risk
00:11:30 AI vs. Human Donor Knowledge
00:14:30 Data Quality and CRM Accuracy
00:17:30 Protecting Your Nonprofit Voice
00:22:00 Personalization vs. Automation in Donor Care
00:25:45 Using AI to Save Time and Increase Capacity
00:27:00 How Fast Should Nonprofits Adopt AI?
00:30:00 Final Thoughts on AI Strategy
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