AI register

AI register for business: build a usable baseline for DPOs and management

An AI register tracks tools and use cases over time. It helps move from a one-off snapshot to a living governance baseline.

What to track

Detected tools, declared usage, teams, data potentially entered, risk level, review status, owner and change date.

Why export matters

A useful register can be shared with a DPO, management, GDPR consultancy or project team.

How to maintain it

Updates should be simple: new tools, status changes, declared usage and next review.

Recommended structure

Use this as a starting point before involving legal or compliance specialists.

  • Tool identifier.
  • Domain and vendor.
  • Business use.
  • Initial risk.
  • Review owner.
  • Last update.
  • PDF or CSV export.

FAQ

Is an AI register mandatory?

Obligations depend on the role and systems. In practice, a register helps show that the company knows what it uses.

Who should own it?

Often an operational pair: management, IT, internal or external DPO depending on company size.

Which format should I choose?

Start simple, but keep it exportable and readable.

See what AIMapper produces

Explore a sample report, then join the beta to build your first AI inventory.