The most expensive meeting in agile isn't the one where people disagree. It's the one where everyone thinks they agree. Two weeks later, UAT proves otherwise.

 

The root cause is almost always acceptance criteria that felt clear but weren't tested against the hard questions. Those gaps get discovered later, by the wrong people, at the wrong time. What's interesting now is that AI has the same dependency on clear AC that your team does. Vague input produces confident, wrong output whether that's a developer, a tester, or an AI. This session explores how AI can act as a thinking partner in grooming, surfacing the questions nobody thought to ask before the sprint starts.