Governance is an operating model, not a policy document.
Policies matter, but leaders also need practical decisions at the point of work. Teams need to know which data may be used, which use cases need review, who approves an exception, how output is checked, and what happens when the system makes a mistake.
The goal is to enable useful, responsible work with the right controls for the level of risk. Treat every use case the same and governance becomes a bottleneck. Treat nothing seriously and the organization takes unbounded risk.
Define the decisions that need an owner.
- Which AI use cases are permitted, restricted, or prohibited?
- Which data and systems can be connected to a given use case?
- Who is accountable for business value, technical reliability, risk, and user adoption?
- When is human review required before an output affects a customer, employee, financial result, or regulated activity?
- What evidence is required to move from test to production?
Classify the risk before choosing the control.
A low-risk drafting aid is not the same as a system that recommends an action, communicates externally, handles sensitive information, or changes a business record. Define a small set of risk categories that the business can understand. Then map each category to practical requirements for approvals, data access, testing, monitoring, and human oversight.
| Use-case condition | Governance question |
|---|---|
| Internal productivity assistance | What information may enter the tool, and how will users validate material output? |
| Decision support | Who remains accountable for the final decision, and what evidence must be reviewed? |
| External or customer-facing output | What quality controls, escalation path, and representation standards apply? |
| Sensitive data or consequential action | What formal risk, security, legal, and executive approvals are required before production use? |
Build accountability into the workflow.
Every production use case needs a business owner, a technical owner, and a clear escalation path. The business owner owns the outcome and adoption. The technical owner owns the system behavior and integration. Risk, security, legal, and data leaders should have clear review roles where their expertise is required, not informal responsibility without decision rights.
Review performance after launch.
Governance continues after approval. Establish a rhythm for reviewing quality, exceptions, user feedback, drift, adoption, value, and emerging risk. The purpose is to keep a use case useful and accountable, not merely approved.
When to ask for an Executive Diagnostic
Use the Diagnostic when teams are adopting AI in parallel, policies do not translate into daily practice, leadership lacks a common view of risk, or a high-stakes use case needs a clearer decision path.