AI in Philanthropy: Separating Myth from Reality

Fundraising teams depend on accurate data for outreach, reporting, prioritization, and responsible AI adoption. But data issues can build quietly over time, leaving busy teams with incomplete records, inconsistent information, and a growing cleanup list.

The challenge is not simply finding problems. It is knowing where to focus and making steady progress without creating more work.

Following the introduction of Data Health Agent at bbcon, this session takes a closer look at how Blackbaud is approaching continuous data health in Raiser’s Edge NXT.

You’ll explore how Data Health Agent makes data quality more visible, surfaces issues for review, and supports a clear review-and-approve process that keeps people in control.

The conversation will also examine the research and product thinking behind the solution, along with the longer-term vision for moving from periodic cleanup to ongoing data stewardship.

What you’ll learn:

• Why healthier data supports more confident fundraising, reporting, and AI use
• How Data Health Agent helps teams identify and prioritize data quality issues
• How human review, transparency, and auditability support responsible use
• What Blackbaud is learning as early adopters help shape the experience

This session is ideal for fundraising, advancement, database, and operations leaders who want a practical path to stronger data health and greater confidence in the work that depends on it.