Chrissy Myers advises starting AI adoption with a small group of champions, picking one tool for limited tasks that directly support your existing KPIs, then measuring impact and iterating. This approach avoids disrupting the business while you learn what works.
Chapters
looking from two sides approaching this from your KPIs and then also from the people doing the task responsible for building up those KPIs. Pick one instance, one team, or whether they're working on the same tasks. But you need to assemble a small group of AI-forward people who can champion this, and they start with small tasks that support KPIs but that are not going to completely, you know, cut the legs out from underneath the business because that's a lot of pressure to put on an experimental process where people are trying to learn how this thing works and start with one tool and see what your people can do. Learn how it works for your company, evaluate it against your KPIs and what you're hoping for, and then rinse and repeat.