Explore evidence-led notes on where AI should run, what agents need after the demonstration, and how technical mechanisms change workflow economics. Claims are bounded to their workload and evidence.
Decide whether an AI pilot should advance, remain limited, or stop by using a failure-control-evidence ledger. The gate connects evaluations, permissions, observability, injection and leakage tests, human checkpoints, recovery, agency, and cost controls to named owners, dated evidence, and hard failure conditions.
