An AI steering committee can contain every relevant executive and still leave the important decisions unowned. Agreement to experiment does not establish who can authorize production, fund ongoing review, approve a wider data boundary, or stop a system when its performance changes. The test of an operating model is whether those decisions can be made clearly and in time.
Our proposed division of responsibilities starts with the decisions themselves. The interactive example above follows fictional Meridian Industrial Group as a customer-service assistant moves toward production. It illustrates a possible mandate, not Meridian's actual staffing or a universal organization chart.
Give the business an outcome to own
The workflow owner should define what better performance means and which consequences matter. For a service assistant, a faster first draft may be useful, but the business also needs to examine repeat contacts, incorrect commitments, review effort, and the experience of the customer receiving the answer. Acceptance criteria belong close to people who understand the work.
Ownership includes allocating time for subject-matter experts to review examples and handle exceptions. If the business can request a pilot but cannot provide reviewers or change its process, a technology team cannot compensate with a better model. Agree the intended use, the baseline, and the point at which evidence will support continuation, revision, or a stop.
Give the AI function a service and a mandate
The central AI function can maintain shared evaluation tools, approved integration patterns, a dependency register, and a consistent intake process. Its purpose is to make recurring decisions easier and shared capabilities dependable. It needs a service commitment to the business, including how requests are triaged and how delays are escalated.
A CAIO mandate should state which decisions the role can make, which require executive approval, and which remain with existing accountable functions. Convening people, owning a platform budget, and having authority to pause deployments are different powers. Record them explicitly. The mandate can evolve as the portfolio grows; an impressive title does not substitute for it.
Keep control decisions with competent owners
Security and data owners should decide which identities, repositories, and actions are permitted within the proposed workflow. Legal or privacy specialists join when the purpose, information, contract, or jurisdiction requires their judgment. The AI function translates these conditions into a usable implementation and a testable review record.
The boundary must survive changes. Connecting another repository, enabling an outbound tool, or switching an account tier can invalidate assumptions behind the original approval. Define the changes that trigger review and the temporary operating conditions while that review takes place. OWASP's excessive-agency guidance supports restricting tools and permissions to the task and checking authorization outside the model. The allocation of roles here is our operating recommendation.
Make finance part of the operating decision
Finance should agree the cost boundary and the method for interpreting benefits. A lower inference bill, hours released, and cash savings are different outcomes. Include the cost of human review, rework, integration, and ongoing support when they fall within the agreed scope. Assign shared expenses using a documented method rather than allowing them to disappear between teams.
For Meridian, a release decision could include a cost range per accepted response and a threshold for investigating a change. The business owns the quality of the outcome; finance challenges the assumptions and checks whether the proposed benefit can be evidenced. Neither needs to claim that every benefit can be attributed perfectly to AI.
Give unresolved tradeoffs an escalation route
An executive sponsor should settle conflicts that exceed delegated authority: competing portfolio priorities, funding gaps, or an operating constraint that changes the investment case. Specialists establish the relevant constraints; the sponsor cannot simply waive legal obligations or technical facts. The decision should record conditions, owners, a review date, and the reason for proceeding or stopping.
There is research support for organizing responsibilities differently by function. McKinsey's March 2025 survey analysis describes more centralized risk and data governance alongside commonly hybrid arrangements for talent and adoption. That observation does not prove one structure will fit every firm. NIST's voluntary AI RMF Playbook supplies broader governance actions that can be adapted to the context.
Start with one real decision. Ask each participant who decides, who supplies evidence, and who must be consulted. Resolve conflicting answers before scaling the workflow. This is how a mandate becomes an operating practice people can use.