AI Practice8 October 20266 min read
The gap between an AI agent demo and an AI agent in production is not model quality — it is accountability. When an agent approves a refund, moves inventory or drafts a client email, someone will eventually ask why. 'The model decided' is not an answer.
The teams shipping agents safely treat every run as an auditable event: the inputs the agent saw, the tools it called, the data it touched, the output it produced and the human checkpoints it passed. That log is not bureaucracy — it is what makes iteration possible, because you cannot improve behavior you cannot replay.
Our rule of thumb: if you would not let a junior employee take an action without a record, do not let an agent take it without one either. Prompts get an agent started; audit trails keep it employed.