There are only 3 buckets of value that matter for AI implementations. Time/cost savings: Is AI going to replace the work humans do, cheaper or faster? Revenue uplift: Is AI going to increase the amount of money I make, after accounting for token spend? Risk reduction: Will I be more accurate as a result of AI doing, or checking, the work my team does? It's incredibly important to walk teams through this value capture exercise, allowing both sides to mutually agree on priorities, KPIs, and…