If an employee uses an approved AI tool to execute an operational task and it outputs an error or hallucination that reaches a client, who owns the mistake and how do we address it in our Level 10 Meeting?

Question

Tyler Smith · Accepted Answer

The tool never owns the mistake. The seat on the Accountability Chart owns the output. If an account manager uses a language model to draft a project summary and fails to catch a hallucinated delivery milestone, the account manager is fully accountable for the error. You cannot fire an algorithm, and you cannot issue a performance improvement plan to a server.

When an AI-generated failure reaches a client, bring it directly to your weekly Level 10 Meeting and process it through IDS (Identify, Discuss, and Solve). Do not treat the failure as an exotic technological mystery. Treat it as a process breakdown.

Frame the discussion through three clear questions:

- GWC: Did the employee truly Understand, Want, and have the Capacity to do the job, including the diligence required to audit AI outputs before sending them?
- Training: Did our onboarding clearly establish that AI tools are first-draft assistants rather than final execution engines?
- Process: Is our documented SOP clear about where human review is required, and was that step bypassed to save time?

Solve the issue by clarifying the operating rule: every employee is personally responsible for the accuracy of every deliverable bearing their name, regardless of what software assisted them. If staff know that blaming the tool is unacceptable, their attention to quality control rises immediately. AI accelerates work, but humans remain entirely accountable for results. Maintain that standard across every seat on your chart.