Resource note

Resources / AI Business Systems

AI Governance Without Bureaucracy: A Practical Review Framework

Use a lightweight review to record tool owners, data boundaries, vendor questions, human review, and exceptions.

AI Business Systems Published by Velocity Ops Updated

Resource note

Resources / AI Business Systems

AI governance does not need to begin with a large committee. A small organization can use a short, repeatable review for each proposed tool or workflow: name an owner, identify the information involved, check the vendor and access model, decide where a person must review output, and record the decision.

A lightweight review framework

  1. **Inventory the use.** Record the tool, vendor, task, users, information entered, connected systems, and business owner.
  2. **Set a decision.** Mark the use approved within stated limits, restricted pending changes, or not approved. Record who can grant an exception.
  3. **Choose controls.** Define data boundaries, account access, human review, logging, and what happens if output is wrong or the service is unavailable.
  4. **Check the workflow.** Test with representative non-sensitive data before real use. Preserve a way to pause or roll back the connection.
  5. **Revisit when it changes.** Review again when the vendor, model, data, connected system, or impact changes.

Example

An assistant that drafts internal meeting summaries may need a review step before notes enter a record system. A tool that processes customer or health information needs a separate review of data terms, access, security, and applicable obligations before that information is used.

This framework organizes decisions; it does not determine legal compliance or make a high-impact use safe by itself. Start with one real workflow and adapt the review to its data and consequences.

Sources and further reading