Shadow Mode

A deployment pattern where an AI agent runs in parallel with humans on real production traffic but its outputs are logged rather than delivered. Shadow mode lets teams measure agent quality against human baselines on real data before any customer is exposed to the agent. It is the standard first step in a staged rollout from pilot to production.