🇺🇸 United States · AI Incident Response Playbook
A delimiter-split deliverable: an Executive Summary Word document for sign-off (severity-classification scorecard + top 5 likely incident scenarios + sign-off block + 3 embedded charts) plus a 9-sheet operational Excel workbook designed for use under pressure: Severity Classification Matrix (P1/P2/P3/P4 with industry-specific examples + escalation thresholds), 6-Step Response Process (Detect → Contain → Assess → Notify → Remediate → Review with Status dropdown driving the live Dashboard), Regulator Directory (sorted by deadline urgency), 12 Communications Templates (4 severities × 3 audiences: Internal / Customer / Regulator), Evidence Collection Checklist (12 items × Status dropdown), Post-Incident Review framework (RCA 5-Whys + Fishbone categories + Lessons Learned + Corrective Actions Tracker), Live Incident Log Template (empty 10-row template for real-time use), Readme, and Dashboard with native dynamic radar (per-step) + doughnut (overall response readiness).
The output is anchored on the regulations that apply to AI deployments in US. The top frameworks cited:
Deployers of high-risk AI systems must conduct impact assessments, implement AI risk management programmes, provide consumers with clear disclosure of AI use and adverse action explanations, and notify developers of discovered risks.
AI developers and deployers must avoid prohibited uses, provide clear disclosures when consumers interact with AI in consequential contexts, conduct algorithmic-discrimination assessments for in-scope systems, and report adverse incidents to the Texas Attorney General. Compliance with NIST AI RMF and recognised standards is treated as a rebuttable presumption of reasonable care.
Businesses must disclose automated decision-making logic upon consumer request, allow opt-out of profiling for targeted advertising or significant decisions, and conduct and document risk assessments for high-risk data processing activities.
Operators of bots that interact with California consumers in commercial or electoral contexts must clearly and conspicuously disclose that the consumer is communicating with a bot, with the disclosure designed to inform a reasonable person communicating with the bot. Disclosure must not be hidden behind interaction or buried in a privacy notice.
You describe your organisation, jurisdiction, industry, risk appetite, and the AI tools currently in use. The tool produces a complete, structured playbook tailored to those inputs — designed to be opened, classified, and acted upon during a real incident.
The Executive Summary Word document is a one-page sign-off artifact for board / leadership. The detailed Excel workbook is the working operational instrument: classify severity, work through the 6 steps, populate the live incident log, dispatch the right communications template per severity tier, collect evidence, conduct the post-incident RCA, and track corrective actions to closure. Both are AI-assisted drafting aids intended to accelerate review by qualified incident-response, data-protection, and sector-regulatory practitioners.
$49 · one-time — answer a 6-question intake (including jurisdiction = US), and download your tailored document immediately.
Generate Playbook →Also available framed for your sector → see industry-specific pages