EU AI Act, GDPR, AI governance, and infrastructure. Download, customize, and use in your business.
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Comprehensive AI incident response plan covering incident categories, severity levels, response procedures, reporting obligations under EU AI Act Article 73, and post-incident review processes.
Structured AI literacy training plan for organisations deploying AI systems under EU AI Act Article 4, covering role-based objectives, module descriptions, and competency levels.
Ready-to-use transparency notices for chatbots and AI-generated content under EU AI Act Article 50, plus automated-decision notices under GDPR Article 22. Copy-paste notices in English and Spanish.
Step-by-step conformity assessment roadmap for high-risk AI systems under EU AI Act Article 43, covering internal control (Annex VI) and notified body procedures (Annex VII).
Official EU Declaration of Conformity template for high-risk AI systems as required by EU AI Act Article 47 and Annex V, including all mandatory fields and reference standards.
Structured template for conducting a Fundamental Rights Impact Assessment for high-risk AI systems under EU AI Act Article 27.
A complete DPIA template for AI systems combining GDPR Article 35 requirements with EU AI Act risk management obligations — covering processing description, necessity assessment, risk identification, mitigation, and supervisory authority consultation triggers.
Comprehensive implementation guide for Article 14 human oversight requirements, covering oversight mechanisms, competency standards, override procedures, documentation, and monitoring dashboards for high-risk AI systems.
Complete self-assessment checklist for all 8 prohibited AI practices under EU AI Act Article 5, with examples, edge cases, self-assessment questions, and incident response procedures.
Complete checklist for EU AI Act Annex IV technical documentation requirements covering all 15 mandatory sections for high-risk AI systems.
Comprehensive AI vendor due diligence questionnaire with 35+ questions organised by compliance status, data processing, technical specifications, security, support, and contractual terms. Aligned with EU AI Act Article 25.
A comprehensive policy governing employee use of AI tools, covering approved applications, prohibited uses, data handling, content review requirements, and reporting obligations — aligned with EU AI Act requirements.
A comprehensive AI governance framework covering organisational structure, RACI matrix, decision-making processes, risk appetite, monitoring, reporting, and audit schedule — designed for EU AI Act compliance.
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.
A comprehensive operational checklist for identifying, remediating, and preventing shadow AI use across the organisation — covering 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.
Assessment template for evaluating a company's AI and digital readiness. 40+ questions across infrastructure, data maturity, team skills, processes, culture, and budget. Includes scoring rubric.
ROI calculation template for AI deployment projects. Covers current vs projected costs, productivity gains, risk reduction, payback period, and includes worked formulas and example calculations.
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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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