A risk register turns broad concern about AI into a manageable list of real uses, owners, controls, and decisions. For a small organization, the document should be simple enough to maintain and specific enough to guide action.
Without a shared record, teams may repeat vendor reviews, apply different rules to similar tools, or discover sensitive uses only after a problem occurs. A register makes adoption visible.
Key takeaways
- List active use cases: Record both formally purchased products and meaningful AI features already used inside existing platforms.
- Name an owner: Assign a person responsible for the business purpose, approved users, controls, review, and response to problems.
- Describe information exposure: Identify the categories of data entered, retrieved, generated, stored, or shared by the workflow.
- Rate impact and likelihood: Use a simple consistent scale and explain the reason rather than relying on a number without context.
- Track controls and review dates: Document approval, access, verification, monitoring, training, contractual, and technical controls plus the next review.
Why this deserves attention now
AI features are appearing inside products employees already use, sometimes without a separate purchasing decision. Governance therefore needs to cover capabilities and use cases, not only a list of standalone AI vendors.
Track risks at the level of a real workflow: who uses the system, for what purpose, with which information, under what controls, and with what potential effect.
A practical framework
List active use cases
Record both formally purchased products and meaningful AI features already used inside existing platforms.
Name an owner
Assign a person responsible for the business purpose, approved users, controls, review, and response to problems.
Describe information exposure
Identify the categories of data entered, retrieved, generated, stored, or shared by the workflow.
Rate impact and likelihood
Use a simple consistent scale and explain the reason rather than relying on a number without context.
Track controls and review dates
Document approval, access, verification, monitoring, training, contractual, and technical controls plus the next review.
What to watch before you move forward
- Creating a long form that discourages people from reporting real use
- Rating every risk as high without distinguishing the decisions required
- Recording risks once and never updating them as features or workflows change
A register supports, but does not replace, appropriate legal, security, privacy, compliance, or professional review. Its value is making ownership and follow-up visible.
What the next 12 to 24 months may bring
Organizations will need a combined view of human users, applications, integrations, and autonomous agents. A simple use-case register can grow into that broader inventory without losing its focus on business purpose and accountability.
A focused 30-day starting plan
Week 1: Collect known AI products and features, then describe each real use in one sentence.
Week 2: Assign owners and record data categories, potential effects, current controls, and unanswered questions.
Weeks 3 and 4: Prioritize the highest-impact gaps, set review dates, and add the register to regular technology or operations review.
Record the starting condition, the person responsible, and the decision that the evidence will support. That keeps the project connected to a business outcome instead of becoming another disconnected technology task.
Further reading: NIST AI Risk Management Framework.
Make AI governance practical and maintainable
STEP Solutions can help organize use cases, documentation, ownership, and review workflows for responsible adoption.
Frequently asked questions
How detailed should the register be?
Use enough detail to understand the purpose, owner, information, potential effect, controls, and next decision without creating a form nobody maintains.
Who should maintain it?
A named business or technology owner should coordinate updates, with input from the people responsible for security, privacy, compliance, and affected operations.