Most boards are receiving AI briefings. This playbook is how you start governing AI decisions — with enforceable controls, decision rights, and a 100-day blueprint built from real PE engagements.
"If you cannot control AI authority, you do not control your portfolio."
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AI systems are executing actions inside your portfolio companies today — making decisions, sending communications, adjusting outputs — that no governance framework has formally acknowledged or classified.
If a specific AI decision caused a compliance flag or customer harm in the last 90 days, most boards could not reconstruct it. Not because the information doesn't exist — because no one built the evidence layer.
A policy document is not a control. If the system is architecturally capable of performing disallowed actions, the policy doesn't protect you. Real governance exists at the system level — not the document level.
The Playbook is how you close the gap — with a structured system, not another policy document.
Each section addresses a specific failure mode — and gives you the tool to close it.
Four levels of AI authority — Assisted, Supervised, Committed, Autonomous — with the controls and board triggers each level requires.
Seven questions. Yes or No. Any No is an active governance gap. Designed to be used in a board session the day you download this.
How to build the AI Labor Inventory that makes everything else possible. Most organizations find undeclared AI systems in this phase.
The AI Operating Policy, Decision Rights Matrix, and escalation protocols. Governance converted from intent to operating agreement.
System-level controls, override mechanisms, and automatic downgrade triggers. What makes governance real rather than documented.
Decision logs, error budgets, and the board reporting template that separates AI ROI from AI theater in front of a sophisticated acquirer.
Five high-impact AI patterns — each with its delegation level, value driver, failure risk, and the governance that determines which side you land on.
Why AI governance built at the firm level outperforms company-level approaches — and how it becomes a demonstrable due diligence signal.
The quarterly board review, monthly operating rhythm, and trigger-based incident response that make governance a running discipline, not a one-time project.
Expose reality → Bind authority → Enforce → Scale. The four-phase sequence used in live portfolio company engagements. In order for a reason.
Five dimensions, 0–2 scoring, three outcome bands. Know exactly where your portfolio stands — before a transaction or regulatory event forces the question.
Portfolio AI Governance Diagnostic or Board Briefing — the two paths from playbook to implementation, depending on where your exposure is and how fast you need to move.
"The trust tier model alone changed how we talk about AI at the board level. We'd been approving AI initiatives without any framework for what level of oversight each one required. The classification system gave us a shared vocabulary we didn't have before."
Managing Director PE Firm, Mid-Market Focus"I sent this to my entire board. The decision rights section was the conversation we'd been avoiding for a year — finally framed in a way that made sense to everyone in the room. We used it to restructure how we report on AI initiatives entirely."
CEO, PE-Backed Business Services $220M RevenueA Portfolio AI Governance Diagnostic or a Board Briefing — two ways to move from framework to implementation. Both start with a 30-minute conversation.