AI Governance Needs a Maintenance Plan

An AI policy can be sensible on the day it is approved and gradually lose contact with the systems employees actually use. New features arrive, information sources change, agents gain actions, and a pilot becomes part of a critical process.

Governance needs a way to follow those changes. Start with an inventory that connects each important use to a business owner, a technical owner, the information involved, and the decisions or actions the system supports.

Define what triggers another review. A new external audience, a more sensitive information source, a change in supplier terms, or expanded authority may require a fresh decision. The review should be proportionate to the consequence of the change.

Make recurring checks part of normal operations. Review performance, exceptions, complaints, costs, access, and the assumptions behind the original approval. Retire uses that no longer have a clear owner or business purpose.

People need a practical route to report unexpected behavior and stop a process when necessary. They should know who will respond and what information to preserve. A policy document alone cannot provide that operating capability.

360Views can help establish the ownership, records, workflows, and Microsoft configuration behind a maintainable AI program. The result should let the business introduce useful capabilities while keeping a current understanding of what is running, why it is running, and who is accountable for it.