Key Insights
- Record each business use of AI with an accountable owner, defined data boundaries and links to its supplier and assessment evidence.
- Keep inventory records separate from risk register entries, then connect them through a stable identifier so reviewers can trace decisions.
- Make procurement, deployment changes and scheduled owner reviews update the inventory, with unresolved gaps assigned to a named person.
A software renewal arrives with an AI feature included. Procurement knows the supplier, IT knows the application and a business team has started using the feature to summarise customer conversations. When risk asks who approved that use, the contract record alone cannot answer.
An AI inventory should connect those fragments. It gives reviewers a way to establish what the organisation uses, why it uses it and who can explain the current position. For a Singapore enterprise, that means capturing internally developed systems alongside purchased services and AI features embedded in existing software.
Start with records that support real decisions. A long catalogue becomes difficult to maintain when nobody knows which fields matter or what should happen when an entry changes.
Set the boundary around the business use
Define the unit of registration before sending a questionnaire to departments. A supplier name is usually too broad: one service might draft internal documents, analyse customer records and support recruitment. Those uses have different data, affected people and approval needs.
Create a record for each materially different business use, with links to shared applications, models and suppliers. Assign a stable identifier that survives changes to the product name or business owner. Record proposed uses and pilots as well as production deployments, with a status that makes the difference visible. Retain retired entries so historic decisions remain traceable.
The NIST AI RMF Playbook's GOVERN 1.6 guidance calls for mechanisms to inventory AI systems, resourced according to organisational risk priorities. Its suggested actions cover scope, maintenance responsibility and recorded attributes. This is voluntary framework guidance, not a blanket legal requirement for every Singapore business.
Hyperios's explanation of what makes a good AI governance framework places inventory within the wider intake and classification process. A record should help the next reviewer find evidence and act on it.
Capture the fields a reviewer needs
The following is a practical starting design. Adapt it to your operating model and the consequences of each use; it is not a prescribed regulatory template.
- Identity and purpose: the record identifier, business process, intended outcome, lifecycle status and affected users. Specify what the AI produces or influences, including any actions it can take.
- Accountable people: the business owner responsible for the use, the technical or application contact and the person maintaining the record. Link the approval authority and escalation route so an owner can obtain a decision.
- Data boundaries: the categories and sources of input data, personal or confidential information involved, output destinations and access arrangements. Link the relevant data flow and privacy review instead of copying sensitive data into the inventory.
- Supplier and dependencies: the contracted provider, known underlying model or service, relevant versions and connected tools. Mark information awaiting supplier confirmation and identify who will obtain it.
- Assessment evidence: the screening outcome, assessment date and links to testing, security, privacy and impact reviews where applicable. Record open evidence requests without presenting an incomplete review as approval.
- Decision and conditions: the authorised scope, decision maker, decision date and restrictions. Link the approval record, including required human review, prohibited data and any time-limited exception.
- Maintenance: the latest owner confirmation, next review date and events requiring earlier reassessment. Include links to incidents, material changes and retirement evidence when they arise.
Singapore's PDPC guidelines on personal data in AI recommendation and decision systems address how the PDPA applies across development, deployment and procurement contexts. Recording the data involved and the parties handling it helps privacy colleagues identify which questions require examination. An inventory entry does not itself establish a lawful basis or demonstrate compliance.
Keep evidence in controlled repositories with appropriate access. The inventory can contain document references and review outcomes without becoming another store of customer information, credentials or confidential prompts.
Connect the inventory to the risk register
The inventory describes the AI use and its current governance position. A risk register records identified risks, their assessment, treatment, ownership and acceptance. One inventory entry may link to several risks; one supplier issue may affect several entries.
Consider a hypothetical customer-support assistant. Its inventory entry identifies the approved team, supplier, customer data boundary and requirement for staff to check drafts before sending. Linked risk records describe inaccurate advice, inappropriate disclosure and failures in human review, with treatment actions and accountable risk owners.
If the organisation later permits automatic sending, update the inventory's authorised scope and trigger reassessment of the linked risks. A previous approval for draft assistance cannot explain a materially different deployment. The identifier connects the changed use to the evidence supporting the new decision.
Where these relationships are unclear, AI governance framework development can address ownership and approval pathways alongside the inventory design. A populated spreadsheet still needs a person with authority to resolve a disputed or incomplete entry.
Find the first records through existing workflows
Begin with the records the business already holds. Procurement can identify relevant contracts and renewals; IT and application owners can review approved software; engineering can identify internal models, APIs and integrations. Ask department leads about trials, free services and embedded features that may sit outside those lists.
Give teams concrete examples and a clear reporting route. “Do you use AI?” can produce inconsistent answers when staff know a feature by its product name. Asking whether a tool generates text, scores applications, recommends actions or processes meeting recordings helps teams recognise uses that need screening.
Reconcile the responses, merge duplicates and return uncertain entries to a named owner. Record what each discovery route covered. A procurement review may miss individual trials, while a staff survey may miss background integrations. Treat unconfirmed coverage as an open task with an owner and a due date.
Update records when the business changes
Make inventory updates part of procurement intake and deployment approval. Require the owner to confirm the record before a pilot enters production, a new data source is connected or an AI feature gains additional permissions.
Other review triggers can include a supplier changing its model or data handling, an incident, expansion into another market and a change of business purpose. Agree which changes require reassessment and who decides whether existing approval remains sufficient. Set scheduled reviews according to the use's risk and rate of change, with overdue confirmations visible to the responsible manager.
Measure maintenance through owner coverage, outstanding evidence requests and overdue reviews. These measures help locate work; they do not prove that the inventory captures every use. For organisations that need continuing help with this operating rhythm, ongoing AI advisory and support provides a route to discuss review responsibilities and escalation arrangements.
Put your AI inventory through a working review
Pilot the inventory with one department and a small selection of different AI uses. Ask a risk reviewer to follow each entry to its assessment, approval and latest owner confirmation. Ask the business owner which changes they would report and where they would record them.
Revise fields that duplicate existing records or fail to answer those questions. Then agree who will resolve missing evidence before extending the process across the organisation. Speak with Hyperios about defining the inventory, decision rights and maintenance workflow your teams will use.
