The AI Governance Blueprint gives your organization a structured, repeatable way to answer four questions: What are our AI guardrails for employees and teams, how do we assess risk for each AI use case before launch, how do we evaluate AI vendors and model providers responsibly, and how do we stand up a working AI governance model in the next 90 days?
This is not a legal memo or 200‑page policy manual. It is a governance system for AI, designed for cross‑functional leadership teams and newly appointed AI governance owners, and aligned with the NIST AI Risk Management Framework (AI RMF 1.0) and ISO/IEC 42001:2023.
Who it’s for
- CAIO, CDO, CRO, CISO, GC, and executives suddenly accountable for “AI governance”
- Strategy, risk, and transformation leaders formalizing AI oversight
- HR, L&D, and leadership program owners who want a concrete governance example to teach from
What you’ll be able to do
- Define and communicate AI guardrails and acceptable use for employees and teams.
- Assess AI risk and impact for each use case across people, data, technical, legal, and reputational dimensions.
- Clarify roles, responsibilities, and decision rights for AI governance across business, risk, data, security, and legal.
- Evaluate AI vendors and model providers using a structured, repeatable due‑diligence process.
- Launch a 90‑day AI governance implementation plan that aligns with NIST AI RMF and ISO/IEC 42001 expectations.
What’s included
- Owner’s Guide (PDF) – Your roadmap to understanding the six core governance pillars, how all the templates fit together, and the 90‑day implementation journey.
- AI Acceptable Use & Principles (PDF) – Employee‑ready guidelines on responsible AI use, prohibited behaviors, escalation paths, and monitoring.
- AI Risk & Impact Assessment Checklist (PDF) – Structured questionnaire to rate each AI use case across people, data, technical, legal, and reputational risk, with a simple proceed / mitigate / escalate / do‑not‑proceed decision.
- AI Roles & RACI Matrix (PDF) – Clear responsibilities and decision rights for business, risk, data, security, legal, HR, and the AI Governance Committee across the lifecycle.
- AI Vendor & Solution Evaluation Checklist (PDF) – Due‑diligence framework for AI tools and model providers covering security, data handling, compliance, model behavior, support, cost, and exit planning.
- 90‑Day AI Governance Action Plan (PDF) – A practical, three‑phase roadmap to establish foundational AI governance in 90 days, with deliverables, success metrics, risks, and resource estimates.
- AI Governance Across Industries (PDF) – industry‑specific guidance on AI governance focus areas, regulations, maturity, and trusted resources for banking and financial services, healthcare and life sciences, retail and consumer, government and public sector, technology, and other sectors so you can adapt the AI Governance Blueprint to your regulatory context.
How it works
- Step 1 – Align on ownership. Use the Owner’s Guide and AI Roles & RACI Matrix to define who is accountable for AI governance.
- Step 2 – Set guardrails. Customize and roll out the AI Acceptable Use & Principles to employees and teams.
- Step 3 – Assess risk. Apply the AI Risk & Impact Assessment Checklist and Vendor Evaluation Checklist to your highest‑priority use cases and tools.
- Step 4 – Launch the 90‑day plan. Execute the 90‑Day AI Governance Action Plan, integrating lessons from the AI Governance Across Industries guide for your sector.
License & delivery
- License: for internal use within a single organization. Contact Global AI Advisors for multi‑organization, partner, or reseller licensing.
- Founding client pricing: current price applies to the first 3–5 organizations and may increase for future cohorts.
- Delivery: instant download after purchase via our secure storefront.
