AI is already part of the transit conversation. Vendors are building it in, staff are testing it on their own, and board members are asking what the plan is. The question isn't whether to adopt AI. It's how to do it without creating the wrong kind of momentum.

This guide shows how transit agencies like PSTA, Milton Transit, and RTC Washoe are using AI to solve real operational problems, from handling surge call volume during a snowstorm to cutting hold times nearly in half.

✅ A practical framework for identifying where AI will actually move the needle
✅ How to tell real AI from rules-based automation before you buy
✅ Strategies for building staff trust before and during rollout
✅ A rider-centered approach to measuring what success actually looks like
✅ The four most common mistakes agencies make, and how to avoid them

Build an AI strategy that's grounded in real service problems and built for the riders who depend on you most.