AI adoption success stories - how did you get there?
Like most companies, I am being pushed to "use AI to build something". Each team is on their own, with no central strategy, or success / failure criteria. No shared knowledge, no proper tracking of tokens, nothing. Just - here's Claude Code, look at how other companies did X, Y, Z, and we need to change the world.
Question to those with any degree of successful AI adoption at your workplace - how did that go, and what would you do differently if starting from scratch?
How much was training v/s incentivizing AI based outcomes? How are you measuring ROI on AI spend? What guardrails have you put in place to avoid costly mistakes? How much upskilling did you rely on v/s getting an outside "expert" to pilot the team?
If there are just 3 things that were / could be the most impactful in the AI adoption story, what would those be?