Practical guide · Educational reading
Build a manageable AI inventory by recording business uses, assigning owners and making gaps visible—then define how entries stay current.
Audience / jurisdiction: Cross-jurisdictional organizational audience; based on voluntary guidance issued by U.S. NIST, without an assessment of local legal obligations.
How can we start an AI inventory without creating an oversized project?
Start with a manageable register that identifies each AI system, its business use, the information it handles and the people responsible for it. Define what the first exercise covers, record gaps and assign someone to keep the information current. You do not need to design an entire governance programme before collecting useful information.
NIST’s AI Risk Management Framework includes an inventory outcome under GOVERN 1.6. Its companion Playbook offers suggestions on inventory scope, supporting records and maintenance. These are voluntary framework outcomes and implementation guidance, not a prescribed template, an ISO certification requirement or an independently established legal obligation.
This approach is relevant to organizations developing, acquiring or using AI. For a small organization, the first practical output could be a shared register with links to existing records rather than a new software platform.
Define scope before collecting entries
The Playbook describes an inventory as more than a collection of product names. It can connect system or model records with documentation, incident-response information, data dictionaries, software references and responsible contacts. The practical purpose is to make information available for decisions.
Suggested practice: state which business areas, pilots, systems and embedded AI features the initial exercise will examine. Ask business teams, IT, procurement and security to compare known tools with actual uses. Keep unresolved questions visible instead of silently excluding uncertain cases.
The Playbook favors coverage of all models or systems while describing a minimum focus on high-risk systems or high-stakes settings. A prioritized first pass can therefore be useful, but label it as partial. Record exclusions and assign a next step for expanding coverage.
Sources: [2]
Capture information that supports decisions
Suggested starting fields are the system and provider, business purpose, users, data categories, responsible owner, operating status and links to supporting evidence. Add an open-actions field so that missing information leads to follow-up rather than disappearing into a general notes column.
Describe the use precisely. “Drafting customer replies for staff review” is more informative than “productivity.” Likewise, distinguish a limited pilot from a system in routine operation. These proposed fields are an editorial starting point, not a NIST-mandated field set.
Link to existing documentation where possible rather than duplicating it. The Playbook’s connected-record approach supports an inventory that helps readers find evidence without turning each entry into a complete technical assessment.
Sources: [2]
Separate ownership from record maintenance
NIST’s GOVERN 2.1 addresses documented roles, responsibilities and communication lines for AI risk management. The Playbook also suggests assigning a specific person or team to maintain the inventory.
Suggested practice: distinguish the business decision-maker, technical contact and register maintainer. One person may fill several roles, but the responsibilities should remain clear. Maintaining an entry is different from deciding whether a use is acceptable.
Define review intervals and update triggers, such as a new business use, supplier change or system retirement. Flag sensitive-data use, consequential decisions, unknown ownership and missing documentation for follow-up. Give each action an owner; do not treat inclusion in the register as approval.
Test the register on a real use before expanding
Hypothetical example: a customer-service team pilots a hosted AI tool to draft replies for staff review. Its entry identifies the customer-service manager as business owner and the IT service administrator as technical contact. It records customer correspondence as the information involved and marks permitted data categories as unconfirmed.
The entry links to pilot approval, supplier documentation and staff instructions. An open action asks the business owner to confirm data handling before expansion. This illustrates how to apply the Playbook’s documentation and responsibility suggestions; it is not a verified company case.
For your next step, test the proposed fields on a small set of known uses. Check whether a colleague can identify the owner, locate evidence and understand unresolved questions. Simplify fields that do not support a decision, then expand coverage while retaining a clear account of what remains unexamined.
Sources: [2]
Sources
Your experience
Who in your organization would be responsible for updating an AI inventory when an existing tool gains a new business use?
Originally published by AdviseISO, a knowledge-sharing initiative of W3 Solutionz.
