AI incident handling
We set up a reporting and response process for unexpected AI behavior. It brings the original input, output, relevant source, and workflow version into one restricted incident record. AI can organize that evidence; the responsible people decide the response.
How we put it to work
Step 1 of 3
Make a problem easy to report.
We add a reporting route with the affected workflow and a reference to the problematic result. Available evidence is preserved with appropriate access and retention controls rather than copied into an unrestricted inbox.
Your teamChecks urgency and decides whether to pause the workflow.
Step 2 of 3
Separate evidence from assumptions.
AI prepares a timeline from available records and highlights conflicting or missing evidence. Reviewers distinguish a source problem, configuration issue, or unsupported output; a summary is not a finding of cause.
Your teamDetermines impact, cause, and any communication or specialist review required.
Step 3 of 3
Verify the correction before resuming.
We record the proposed fix and replay relevant test cases. The owner reviews the results, approves recovery, and schedules a follow-up check. Unresolved issues remain open.
Your teamApproves release and confirms the incident can be closed.
What your first engagement includes
- 01Review your setupConfirm existing features, data access, and system compatibility.
- 02Configure one workflowConnect the tools, define approvals, and handle exceptions.
- 03Test and hand overPilot on selected work, train your staff, and provide operating instructions.
