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When an employee uses an AI tool to complete client deliverables and an error slips through to the customer, how should our internal policy assign responsibility between the staff member and the technology?

Your internal policy must state this rule with zero ambiguity: the person who owns the seat on the Accountability Chart owns the deliverable. Technology cannot be assigned accountability. An AI agent does not have a seat on your chart, cannot be held to Core Values, and cannot experience the consequences of poor work.

Every employee must understand that any output produced by a machine is merely a rough draft. If an account manager, estimator, or technical writer uses a language model to draft a proposal, client report, or contract summary, that employee is fully responsible for verifying every number, date, and fact before it leaves the building. Blaming the tool for a hallucination or an inaccurate calculation is an immediate failure of personal accountability.

Write this directly into your company policy. Require team members to review machine-generated outputs against your documented quality control checklist. If an error reaches a customer, the issue is handled exactly as if the employee typed the mistake themselves. This standard eliminates careless copy-pasting, keeps standards high, and ensures your team treats automation as a lever for speed rather than an excuse to shut off their critical thinking.

Category: AI-Powered Operations

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