How to put an AI use policy into practice
An AI use policy is difficult to follow if employees cannot tell which tools and uses are approved, who can answer questions or what to do when a proposed use falls outside the rules. A simple workflow can make the policy easier to apply by giving each request an owner, a review path and a recorded decision.
Begin with the policy your organisation has already approved. This article does not provide a model policy or legal advice. Identify the categories it uses, such as permitted use, restricted use, prohibited use, data sensitivity, third-party service review and required human oversight. Confirm who is authorised to interpret the categories and approve exceptions.
Create a request form that asks for information needed to make a decision: the business purpose, users, AI service, data involved, expected output, affected people, human role, systems connected and proposed safeguards. Avoid collecting information that reviewers do not need. Make clear that submitting a request does not mean it is approved.
Route requests to the right reviewers. A straightforward low-risk use may need a lightweight check, while a use involving personal data, external sharing, sensitive decisions or a regulated process may require input from data protection, information security, legal, risk or compliance teams. Your organisation determines the thresholds and accountable approvers.
Record the outcome and conditions. A decision may be approved, approved with limits, returned for more information, rejected or escalated. Capture the rationale, owner, date, conditions, review date and any evidence that supports the decision, if those records are required and supported by the system.
Make the process usable after approval. Tell requesters what was approved, for which users and data, and what changes would trigger a new review. Provide a route to report incidents, unexpected outputs or changes in the proposed use. Revisit approvals when tools, models, data sources, integrations or business purposes change.
This workflow helps operationalise an organisation’s own policy; it does not create the policy, certify compliance or discover every AI tool used outside the process. Organisations may need separate technical controls for tool access, data loss prevention or endpoint monitoring.
KPOData can assess whether a structured intake, review and approval workflow is a fit for your organisation. The starting point is your existing policy, the people responsible for applying it and the systems already used to manage requests.
