Who Is Responsible for Checking the AI’s Answer?

A confident answer can move through a company faster than the evidence behind it. Once an AI-generated statement appears in a presentation, proposal, or management report, the next reader may assume someone has already checked it.

The review process should reflect the consequence of being wrong. Drafting an internal announcement requires a different level of verification from interpreting a contract obligation, recommending a payment, or advising a customer about a technical design.

For material claims, reviewers need access to the underlying sources. They should be able to confirm that a citation exists, supports the statement, and applies to the situation being considered. A link beside an answer does not establish that the answer is correct.

Define who approves the work and what that approval means. A reviewer needs the subject knowledge and time to evaluate it. Assigning review to an already overloaded employee while expecting an immediate response can turn a meaningful control into a formality.

The system should also handle uncertainty well. Missing evidence, conflicting records, or an unanswered question should lead to a clear limitation or escalation. Test whether the process recognizes those situations before relying on it in production.

360Views can build source access, evaluation criteria, and approval steps into the solution. The business should know who stands behind the final work, what they checked, and how an error will be corrected after it has been shared.