AI Incident Response Plan Template
AI incident response plan: incident types, severity levels, response steps, EU AI Act Article 73 reporting and the post-incident review.
EU AI Act, GDPR, AI governance, and infrastructure. Download, customize, and use in your business.
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AI incident response plan: incident types, severity levels, response steps, EU AI Act Article 73 reporting and the post-incident review.
AI literacy training plan for EU AI Act Article 4: objectives by role, module outlines and competency levels for teams that deploy AI.
Transparency notices for chatbots and AI-generated content (EU AI Act Art. 50) and automated decisions (GDPR Art. 22), in English and Spanish.
Conformity assessment roadmap for high-risk AI under EU AI Act Article 43: internal control (Annex VI) and notified-body route (Annex VII).
EU Declaration of Conformity template for high-risk AI systems (EU AI Act Article 47, Annex V), with every mandatory field and reference standards.
Structured template for conducting a Fundamental Rights Impact Assessment for high-risk AI systems under EU AI Act Article 27.
DPIA template for AI systems that joins GDPR Article 35 with EU AI Act risk management: processing, necessity, risks, mitigation, prior consultation.
Article 14 human oversight, step by step: mechanisms, competence, override procedures, documentation and monitoring for high-risk AI systems.
Self-assessment checklist for the 8 prohibited AI practices of EU AI Act Article 5, with examples, edge cases, questions and incident steps.
Complete checklist for EU AI Act Annex IV technical documentation requirements covering all 15 mandatory sections for high-risk AI systems.
AI vendor due diligence questionnaire: 35+ questions on compliance, data processing, technical specs, security, support and contract terms.
Employee policy for AI tools: approved applications, prohibited uses, data handling, content review and reporting, aligned with the EU AI Act.
AI governance framework: structure, RACI matrix, decision process, risk appetite, monitoring, reporting and an audit calendar for the EU AI Act.
16-page governance framework covering organizational AI policy, roles, procedures, and compliance requirements under the EU AI Act.
Determine the risk level of your AI systems per EU AI Act. 5-step assessment covering Articles 5, 6, and Annexes I-III.
Catalogue all AI systems in your organization with risk classification, responsible parties, and compliance status.
Checklist to find, fix and prevent shadow AI in your organisation: detection methods, department surveys, remediation steps and monitoring tools.
Master the Claude API for enterprise use. Authentication, streaming, tool use, prompt caching, and cost optimisation patterns.
Build a Mac inference cluster for sovereign AI. Architecture patterns, networking, load balancing, and cost analysis for multi-Mac deployments.
Enterprise agent development patterns with Claude Code. Project setup, agent orchestration, MCP servers, hooks, and production deployment strategies.
9 core techniques for reliable AI output. From role assignment to chain-of-thought, with practical examples for each pattern.
Speed up LLM inference 60-80% with draft models. Decision table for when to use speculative decoding and implementation patterns.
Know exactly how much VRAM/RAM you need for any AI model. Complete quantization factor table and hardware compatibility matrix.
AI and digital readiness assessment: 40+ questions on infrastructure, data, skills, processes, culture and budget, with a scoring rubric.
ROI template for AI deployments: current vs projected costs, productivity, risk reduction and payback period, with formulas and worked examples.
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Compliance pack
DPIA, FRIA, system register, human oversight, transparency and the rest. One Markdown file you open in any editor and fill in with your own facts.
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