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When Models Break: An Executive Playbook for AI Incident Response

When Models Break: An Executive Playbook for AI Incident Response

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 In this episode Mirko presents a concise, executive-focused playbook for responding when production AI systems fail, behave unpredictably, or cause downstream harm. Framed as a business continuity and governance problem rather than a pure engineering incident, the monologue walks through detection, rapid triage, escalation, containment, rollback, external communications, regulatory documentation, and post-incident learning. Listeners get clear decision points for C-suite leaders: how to prioritize incidents by business impact, structure cross-functional incident teams, allocate authority for containment versus investigation, and measure success through pragmatic KPIs. The episode emphasizes trade-offs—speed versus forensic fidelity, transparency versus legal exposure—and gives concrete governance levers to embed response playbooks into contracts, SLAs, and executive dashboards. Practical, repeatable steps help leaders turn reactive firefighting into institutional resilience that protects value, trust, and compliance.

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