AI
Governance
The Plaster Group AI Governance Methodology, published in full as three articles, across five gated levels.
Reference: AI Governance Statistics (2026), the numbers behind the methodology, every figure sourced.
3 articles
AI Governance: Why Governing AI Well Matters Now, and What Doing It Properly Makes Possible
Most large organizations are further along with AI than their org charts suggest. It arrives on two legitimate tracks at once: a decentralized wave of productivity tools on every desk, and a deliberate centralized push from bought point solutions to redesigned core workflows. One governance discipline has to hold both.
The Business Decides: The Rules Worth Following, and the Right People to Make Them
Governance that holds is written by the business, not handed to it. Level 1 is five decisions only the CEO and executive team can make, the last of which charters the governance board that will run it. Level 2 turns those decisions into architecture: risk tiers, an autonomy standard, one ratified permission table.
Where Rules Become Protection: The Enforcement Layer and the Governance That Never Ends
Written rules are only half of governance. The other half runs at machine speed. Level 4 is the enforcement layer, where every actor carries an identity, guardrails refuse out-of-bounds actions as they are attempted, and every decision leaves a trail. Level 5 is the loop that keeps all of it honest.