Keeping an AI Compliance Register Accurate After Year One
An AI compliance register built once and left static goes stale within months, as new tools get adopted, existing tools get used for new purposes, and employees continue making individual AI choices independent of any central process. Keeping it accurate requires an ongoing intake mechanism, not just an annual re-inventory, combined with monitoring that catches new usage between formal review cycles.
Why the register decays faster than most organisations expect
AI adoption inside an organisation rarely follows a single approval channel, new tools get adopted by individual teams, existing tools get applied to new use cases, and each of these changes the register's accuracy without triggering any formal update on its own.
What "ongoing intake" actually looks like in practice
A lightweight, recurring channel for teams to flag new AI tool adoption as it happens, ideally tied to procurement or IT provisioning, where a new tool subscription or account naturally passes through a checkpoint that can also update the register.
How often a full re-inventory is actually needed
Alongside continuous intake, a full re-inventory, repeating the department interviews, employee survey, and IT signal check used to build the register originally, catches whatever the ongoing intake missed, typically valuable on an annual cycle rather than only once at the start.
Your Employees Are Already Using AI Tools Nobody Approved. That's Where Most Real Usage Actually Lives.
The Responsible AI Scan builds a complete use-case inventory, classifies every system under the EU AI Act, and sets up governance that keeps working after the audit, not just on delivery day.