When I first volunteered for my company's newly founded AI Champions team, it was because working with AI was (and still is) the most fun I've had in years, yet I keenly felt it's also the most divisive technological advancement of our time.
My team works on a real legacy codebase: the first commit was in 2004. There's no model trained on our highly custom application, and most tools were set up to give broad access -- to humans, not agents. Meanwhile, the team is made up of skeptics, enthusiasts, and the curious alike. Adopting AI in our team posed a real challenge in both change and risk management. This talk is about what I learned doing exactly that for the past 12 months.