
What the EU AI Act Asks of You Once Your AI Register Is Ready
An AI register shows what you have. The EU AI Act deployer obligations are about how you run it: oversight, logs, monitoring, impact assessments and informing people.
MetroMinds brings every AI idea into one portfolio, compares value with feasibility and readiness, and gives each business case benchmark ranges based on real-world implementations.
A first notice of loss reaches the claims desk, and the Customer Operations Manager opens the claims evidence bundle that must be read before the file moves. In Insurance the bundle arrives from several hands at once, for example a repairer estimate, a police report, photographs from the policyholder, and administrator forms.
| Metric | Low | Mid | High |
|---|---|---|---|
| Review time reduction | 25% | 35% | 45% |
| Error rework reduction | 15% | 22.5% | 30% |
| Straight through processing increase | 10% | 17.5% | 25% |
Customer Operations Manager spends less time opening the claims evidence bundle, locating fields, checking tables, and retyping values. Manual sorting also declines because document classification happens before the review queue.
Pick a sector and see three use cases from the MetroMinds Library, with the benchmark range for each.
Each card shows the same evidence a portfolio manager sees in MetroMinds:
Open a card to read what happens today, what the AI does and how the work of the people involved changes.
Answer one executive dilemma and see where you stand. The full Snapshot has six dilemmas.
You see your score per domain straight away, and the domain that needs most attention. Want to go further? The full readiness scan has forty dilemmas, answered by several colleagues, so you also see where views differ.
Take the full SnapshotOne dilemma for each readiness domain, each about a real situation rather than a yes or no question:

An AI register shows what you have. The EU AI Act deployer obligations are about how you run it: oversight, logs, monitoring, impact assessments and informing people.

You cannot classify or govern AI you have not found. One in fifteen Library use cases touches a high-risk area, and most of them sit outside HR and IT.

In 96 percent of AI use cases the AI prepares and a person decides. That makes the human in the loop a role that HR has to design, staff and support.
A 30-minute demo with your sector, your roles and your use cases.