Whether you're using a chatbot or something more sophisticated, the same fundamentals determine whether AI succeeds or fails. This session walks through three key principles in plain language: testing your AI's quality, tracking where it makes mistakes, and giving it the right information. We'll use live demos and real-world NFP examples throughout, so no technical background is needed. You'll leave knowing how to set AI up so it works in your team's hands, and what to check when it doesn't.

This course is designed to teach participants:

• Understand how to measure your AI's performance, track its decision-making, and supply the right information to guarantee its success.
• Identify the most common reasons AI systems underperform in real-world team settings.
• Apply a simple framework to assess and improve the reliability of AI tools already in use at your organisation.