Our autumn 2025 webinar on experimenting with AI safely at work: which data is safe to share, spotting hallucinations, and keeping stakeholder trust. Full recording in two parts, plus short clips.

AI works like an intern on day one: bright, fast, and missing context. Data makes it useful, which is exactly why data needs rules.

Red means never, amber means mask it first, green means go. A simple way to decide what data belongs in an AI tool.

“We used AI for polish, not purpose.” Three pieces of policy language any small team can adopt this week.

Well begun is half done. Why AI projects that start with policy and clear practice beat those that start with tools.

Grant prep, reporting, communications and knowledge management: where nonprofits are getting value from AI, and how we start with them.

Nine minutes on experimenting with AI safely at work: the four areas of AI risk, which data is safe to share, spotting hallucinations, and keeping trust.

From safe experiments to daily workflows and long-term strategy, plus participant questions on AI search, Google AI Overviews and healthy boundaries.