When a team's AI trial fails, how should we review it without turning it into a witch hunt?

You can start by focusing the discussion on actual results, root causes, and next steps, rather than rushing to assign blame. The article emphasizes that errors should become information for improvement: what happened, what gaps existed in the original understanding, and what lessons can be applied next time. If a review only stops at identifying someone who made a mistake and that becomes the lasting definition of their competence, others will be even more likely to hide problems. The point of a fault-tolerant culture is to acknowledge what has already happened, clarify the issues, adjust the approach, and enable the team to move forward.