Plan what to do when AI gets something wrong at work

Create an escalation path for errors caused by AI in our work. Where we use AI: [PROCESSES and tools - e.g. "AI drafts customer emails", "AI agent updates CRM records", "AI summaries used in reports"] Types of errors we worry about: [e.g. "wrong figures sent to a client", "confidential data shared", "incorrect advice", "agent changed the wrong records"] Teams and roles available: [e.g. manager, IT, security, legal, compliance, communications, the tool owner] Existing incident process: [DESCRIBE, or "none"] Return: 1. Severity levels - 3 or 4 levels with plain definitions and an example of each from my work (e.g. Low: internal draft error caught before sending; Critical: personal data exposed or wrong information sent to a customer or regulator). 2. First actions - what the person who spots the error does in the first hour: stop, contain (unsend, pause the tool, revoke access), preserve evidence, report. 3. Escalation table: Severity | Who to notify | How (Teams or Slack, email, phone) | Within what time | Who decides next steps. 4. Fix and follow-up - correcting the output, telling affected people, and checking for the same error elsewhere. 5. Learning - a short review template: what happened, why the check did not catch it, what we change (prompt, review step, permissions, training). 6. A one-paragraph version to share with the team. Make it blame-free so people report errors early. Where a data breach or regulatory notification could be involved, say to contact security or legal immediately - do not set notification deadlines yourself; mark them [CONFIRM WITH LEGAL].