From data architecture to post-launch ownership, this report reveals what it takes to run AI in an industry constrained by shrinking budgets and limited resources.
Say a lack of clear strategic direction is limiting their AI pilots.
Say the same about internal team bandwidth.
How to Use the Report
Benchmark Your Program
See how your AI initiatives compare with those of 75 nonprofit organizations. Find out why 79% of leaders say employees are ready for AI yet still struggle with adoption.
Spot the Patterns
Learn where operational gaps appear after launch and what’s behind them. 72% face data accuracy or availability issues.
Apply the Findings
Get guidance for running AI as ongoing operational work. 59% face ongoing integration difficulty.
Resource the Work
AI is its own job. Data, output validation, and measurement all require continuous management after launch, and 56% already face more maintenance than they planned for.
COO, Nonprofit, AI Operations Survey
Meet Our AI Experts
Brian Gannuscio
Chief Digital Officer
Sam Taylor
Senior Director, Innovation & Emerging Technology
Chris Pifer
Director & Industry Advisor, Nonprofit
Build AI That Amplifies Impact
See why AI investment keeps outpacing returns across 75 nonprofit organizations — and the right moves to close the gap.