MindXO Playbook · For Governments
The National AI Governance Playbook
A practical method for designing the governance programs of a national AI strategy, and for carrying them into binding, measurable implementation.
Within a national AI strategy, the governance programs tend to be the most demanding to carry into implementation. They raise questions of institutional design that the other programs rarely face: who regulates, under which instruments, and how progress is evidenced before results can show.
The playbook sets out that design work in order. It is written for ministers and their advisers, for the policy teams responsible for national AI governance programs, and for the regulators who inherit AI mandates. It draws on public instruments and the visible practice of leading jurisdictions, including the United Kingdom, the United States, the European Union and Singapore.
By Myriam Ayada · MindXO · Thirteen chapters · 2026
13 chapters · 5 parts · 4 functions · 2 regimes · 5 questions
Read Chapter 1
The playbook on one sheet
The blueprint summarises the playbook's approach on a single drawing. At the top sits the global layer: the principles, conventions, standards and institutions that international governance makes available to every country. A national design phase draws on these components and works through five questions, covering allocation, sequencing, capability, legal anchoring and coherence. The answers produce two complementary governance regimes: a usage-based regime, applied by sectoral regulators to how AI is deployed, and a safety and security regime, supported by evaluation and assurance bodies and focused on the models themselves. Both regimes are given legal force through the instruments available in each jurisdiction, and a measurement scorecard tracks progress across the program. Each chapter of the playbook develops one zone of the drawing.
- Global layer, what the world provides: Principles (OECD, UNESCO, G7); Conventions and law (CoE treaty, EU AI Act); Standards (ISO/IEC 42001, NIST AI RMF); Institutions (safety institutes, UN, OECD). Chapter 1.
- National design phase, five design questions: Allocation (who does what); Sequencing (staged or at once); Capability (where, how funded); Anchoring (what binds, where); Coherence (one framework, no forks). Chapters 6 to 9.
- Usage-based regime: governs how AI is used, in context, on a risk basis. Addresses deployers, sectoral by nature. Implemented by sectoral regulators (finance, energy, health, telecom). Chapter 4.
- Safety and security regime: governs whether models are safe and secure to use. Addresses developers, largely sector-agnostic. Implemented by evaluation and assurance bodies (institute, accredited assessors). Chapters 4 and 10.
- Legal anchoring: binding instruments suited to the jurisdiction, with a budget and a review cycle attached. Chapter 8.
- Measurement scorecard: leading indicators, milestones, outcomes. Chapter 12.
The argument in brief
- Across jurisdictions, the same pattern recurs: implementation is assigned before the underlying policy has been fully designed. (Chapter 2)
- Beneath every national AI governance program sit four distinct functions: standard-setting, evaluation and testing, assurance, and use-regulation. (Chapter 3)
- The four functions sort into two regimes: one governs the use of AI, the other governs the models themselves. (Chapters 4 and 5)
- Five design questions allocate the functions: allocation, sequencing, capability, legal anchoring and cross-sector coherence. (Chapters 6 to 9)
- Legal anchoring makes the design binding. The right instrument depends on the jurisdiction: a dedicated law, targeted amendments or an existing statutory plan. (Chapter 8)
- A scorecard of leading indicators, milestones and outcomes evidences progress before results can show. (Chapter 12)
About the playbook
A decision methodology
The playbook is a way of designing national AI governance. Landscape material appears only where it informs a decision.
Public sources only
Every example is drawn from public instruments and the visible practice of leading jurisdictions.
Three ways to read it
Ministers: the argument in brief, then Chapters 2 and 4. Policy leads: cover to cover. Program managers: Chapters 6 to 12 and the toolbox.
Follow the playbook
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Advisory for governments
MindXO advises governments and public institutions on AI governance architecture: strategy review, policy design, instrument drafting, and the measurement that holds it together.
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