Briefing · AI Governance 2026

Better questions, before better tools.

Public institutions are moving from AI experimentation to AI governance. Tool adoption is not enough. Leadership teams need to know who is accountable, what data is used, what dependencies are created, what remains human-controlled, and how decisions can be explained, audited and exited.

§ 01Leadership

The five decisions leadership cannot delegate.

Before any AI deployment is signed off, leadership should be able to answer five questions — by name, in writing.

  1. 01

    What is the institutional purpose?

  2. 02

    Who is accountable?

  3. 03

    What must remain human-controlled?

  4. 04

    What dependencies are acceptable?

  5. 05

    How will the institution verify, explain and exit?

§ 02Application

Use this briefing to

  • Run a 90-minute AI governance scan with a leadership team.
  • Prepare an AI procurement or RFP before vendor engagement.
  • Review an existing AI pilot before scaling.
  • Build a 12-month institutional AI governance roadmap.
  • Design a board or executive workshop on AI responsibility, resilience and public trust.

§ 03Editions

Two versions.

Full briefing

Complete checklist and workshop tool

For deeper governance review, procurement preparation and institutional risk discussion.

Download full briefing

Engage

For workshops, board briefings and public-sector AI governance support.

Available for board briefings, leadership-team AI governance scans, procurement preparation and public-sector workshops.