AI in fundraising is often framed for frontline fundraisers—but what about the people who keep the system reliable, usable, and trusted every day? In this session, Christy Turner, Caroline Benton, and Benjamin Lewis share a practical, admin-first approach to weaving RENXT AI into real daily workflows—without compromising data governance, user confidence, or outcomes. We’ll bring three perspectives to the stage: the early adopter, the steady adopter, and the (self-proclaimed) reluctant adopter—then show how each found “safe wins” that actually reduced workload and improved consistency. 

You’ll see concrete examples of how Blackbaud AI chat can help with routine admin work like generating lists and summaries, drafting and refining communications, and producing meeting-prep style outputs—along with the habits that make results more dependable (prompt specificity, iterative prompting, and maintaining a reusable prompt library).  We’ll also cover the critical admin guardrails: why data hygiene and standardization matter to AI results, how to coach non-technical users to validate outputs, and how to use built-in feedback mechanisms to improve future responses.

Attendees will leave with a repeatable “AI-in-the-admin-toolbelt” starter kit: quick-win use cases, risk flags to watch for, and a lightweight adoption plan they can roll out to teams with mixed comfort levels.