Establish your organisation's baseline across the five AI governance confidence levels — AI Aware, AI Exploring, AI Practising, AI Embedding, and AI Leading. Rate yourself against 20 statements and identify your priority development areas.

A structured planning template for mapping your AI governance journey. Includes a 12-month milestone planner, priority-setting matrix, and accountability assignment table. Designed for governance leads who need to communicate a credible roadmap to boards and executives.

A comprehensive policy template covering acceptable use, risk classification, human oversight requirements, accountability structures, and incident reporting. Includes annotated guidance notes and cross-references to ISO 42001 and the EU AI Act. Adapt for your organisation in under an hour.

A ready-to-use register for cataloguing every AI system in use across the organisation. Captures use case description, business owner, risk tier, oversight mechanism, review date, and regulatory classification. Use alongside the Risk Classifier.

A decision-tree risk classifier aligned with the EU AI Act risk tiers — Unacceptable, High, Limited, and Minimal — and a register template for documenting assessed AI systems. Includes worked examples and a plain-English guide to applying the classifier in practice.

A 32-question scorecard for evaluating AI vendors across five dimensions: transparency, data governance, explainability, human oversight, and compliance posture. Includes a scoring rubric and red-flag checklist. Use in procurement conversations and annual vendor reviews.

A structured incident response plan template covering detection, containment, investigation, remediation, and post-incident review. Includes escalation matrices, stakeholder notification protocols, and a regulatory reporting decision tree. Aligned to ISO 42001 Clause 8 requirements.

A pre-populated RACI matrix covering 24 core AI governance activities across six functional areas. Clarifies who is Responsible, Accountable, Consulted, and Informed for each activity. Includes a blank version and guidance on customising for your organisation's structure.

A 40-item checklist for conducting an ethics review before deploying an AI system. Covers fairness, bias testing, privacy, consent, explainability, human oversight, and vulnerable populations. Use at the design, procurement, and deployment stages.

A concise brief for boards and chairs on governing AI responsibly. Covers the board's oversight role, questions to ask management, AI risk in the board risk appetite statement, disclosure considerations, and the governance case for AI accountability. Download and share with your board.

A single-page desk reference covering the EU AI Act's four risk tiers, prohibited practices, high-risk system requirements, and key compliance dates. Print it and keep it at your desk. Cross-referenced to Part F of the framework.

A plain-English summary of the ISO 42001:2023 implementation pathway for organisations pursuing an AI Management System (AIMS). Covers the 10 clause structure, mandatory documentation, gap assessment approach, and a phased 18-month implementation roadmap.