Before I deployed Claude Teams to a single employee, I did one thing. I formed a governance structure around what we were about to do. That decision, more than any individual tool or workflow, is what made the difference between a real AI program and an expensive experiment.
This is how I built our AI Committee, what it does, and what I would tell any CFO thinking about doing the same thing.
Why governance comes first.
The temptation with AI is to start using it immediately and build the guardrails later. The tools are available, the potential is obvious, and governance feels like it slows things down. It does not slow things down. It determines whether what you build can actually scale.
Ungoverned AI adoption inside a company creates predictable problems. Employees start using whatever tools they find, not the ones you have vetted. Sensitive data gets handled inconsistently. Budget accumulates in shadow subscriptions. Different departments build in different directions, and the integrations you eventually need become impossible because nobody thought about architecture before the sprawl started.
The AI Committee is not a committee in the bureaucratic sense. It is a decision-making function, established by charter, with CEO endorsement, that exists to make AI adoption purposeful, safe, and measurable.
From the field, Q1 2026
The committee structure.
The committee I built is a five-member cross-functional body. Membership is tied to role, not individual, which means the committee survives personnel changes without re-chartering. The committee reports quarterly to the CEO and annually to the board of directors.
The members represent Finance, Technology, Operations, and Sales, covering the primary functional areas where AI creates value. Each member carries a specific charter focus: strategy and platform administration, technical architecture and infrastructure, operations process automation, revenue-facing use cases, and specialized workflow automation.
One important structural decision: I chair it. Not because finance owns AI, but because the CFO has the combination of budget authority, cross-functional visibility, and accountability to the board that this role requires. The committee should be chaired by whoever has the most at stake in making AI adoption work correctly. In a PE-backed company, that is almost always the CFO.
What the committee actually does.
The charter assigns five core responsibilities.
Policy ownership. The committee drafted and maintains the company AI policy. It covers approved tools, data classification rules (we use a four-tier model), prohibited uses, accuracy verification standards, IP ownership, and violation consequences. The policy is a living document. As new tools come online and new risks emerge, the committee updates it.
Project prioritization. We maintain a scored, ranked backlog of AI initiatives across all departments. Each initiative is evaluated on a 1 to 5 scale that balances projected ROI against implementation complexity. Without a formal process, every department head becomes a lobbyist for their own initiative, and the highest-volume voice wins rather than the highest-value project.
Champion development. The committee identifies and develops AI power users in each department. These are the people who drive peer adoption from the front line and surface new use cases the committee would not otherwise see. Top-down rollouts without internal champions lose momentum quickly.
Training and compliance. The committee owns the certification requirement and tracks completion. Every employee completes Claude 101 certification before receiving access. The committee monitors the numbers and escalates gaps. This is not a soft ask. It is enforced.
Decision authority threshold. Any new AI tool with an annual cost above $5,000 requires committee review and approval before procurement. This prevents shadow spend, ensures security review, and keeps the portfolio rational. Below the threshold, individual departments can move quickly. Above it, the committee looks at it.
The $5,000 threshold decision.
The threshold deserves its own mention because it is a design choice, not an arbitrary number. If the threshold is too low, the committee becomes a bottleneck that slows down legitimate experimentation. If it is too high, the committee's budget oversight function is meaningless.
The charter is the accountability mechanism.
A committee without a charter is just a meeting. The charter is what makes the committee real. Ours specifies the mandate, composition rules, decision authority, reporting obligations, and meeting cadence. It is signed and carries CEO endorsement. When there is a disagreement about whether a new AI tool requires committee review, the charter resolves it. When someone questions why a project was prioritized over another, the charter explains the process.
The reporting structure matters too. Quarterly reporting to the CEO means AI is a standing agenda item at the executive level, not something that surfaces only when there is a problem. Annual reporting to the board means governance is visible to investors, which is increasingly important in PE-backed environments where sponsors are actively asking about AI strategy.
What this made possible.
The committee created the conditions for everything that came after it. Custom Claude Skills deployed to the whole organization. A formal AI strategy with measurable KPIs. An AI agent in development for accounts-payable automation. MCP integrations connecting Claude directly to the ERP, the spend-management platform, and Microsoft 365.
None of those projects would have moved as cleanly without a governance structure that could approve, fund, and oversee them. And none of them would have the organizational credibility they have if they had been driven by one person without a cross-functional committee behind them.
The practical starting point.
If you are a CFO thinking about standing up an AI Committee, here is the minimum viable version.
- Get CEO endorsement before you do anything else. The committee has no authority without it.
- Draft a charter. It does not need to be long. It needs to define membership, decision authority, reporting lines, and meeting cadence.
- Recruit cross-functional members tied to role, not name. You want Finance, Technology, Operations, and at least one commercial function represented.
- Assign a decision threshold for new tool procurement. Make it a real number and enforce it.
- Start with three deliverables: an AI policy, a training requirement, and a prioritized project backlog. Those three outputs justify the committee's existence in the first 90 days.
The committee is not overhead. It is the infrastructure that makes AI adoption durable.