Structured, plain-language documents built for the people who need to understand what happened.
Plain-language summary of the incident, its impact, and the timeline of events.
Which AI models were used, what decisions they made, and where automation occurred without human oversight.
Who was accountable, what approvals existed (or didn't), and where human judgment was bypassed.
What was done to resolve the incident, prevent recurrence, and improve AI governance.
Without clear, structured narratives, every AI incident amplifies organizational exposure.
Poor explanations invite deeper investigation and harsher findings from regulators.
Without clear accountability records, your organization is vulnerable in litigation.
Insurers increasingly require evidence of AI governance when processing claims.
Incident narratives are generated from your existing data — no manual documentation required.