Practice

1. Evidence over documents. Capture provenance, not just files. A DBS is "issued by X on Y, verified through provenance Z, refreshed on W". A document is just a PDF.

2. Hybrid verification. Automate the easy cases ruthlessly. Build a calm, fast review queue for the ambiguous ones. Never let a human do work an algorithm can do safely, and never let an algorithm decide what only a human should.

3. Workforce-readable audit. If the worker cannot read their own compliance status, neither can anyone else. Make the audit trail human-readable as a default, not an export.

4. Portable by design. Compliance evidence belongs to the worker. The employer borrows it for the duration of the engagement. Build the data model that way.

5. Treat compliance as a clinical handover. Daily stand-ups, named owners, escalation routes, post-incident reviews. The teams that handle compliance well do not run it as a back-office function.

Netvett is a working bet on this thesis. The platform verifies what AI can verify, surfaces what AI cannot to a human review queue, and treats every piece of evidence as belonging to the worker first and the employer second.

We are not the only people working on this. We expect — and welcome — competition that pushes the whole sector forward. The point of this report is not to argue that any one company has the answer. It is to argue that the old way of doing compliance is finished, and the next generation of regulated workforces will be built by the operators who see that early.

Compliance is not a back-office function. It is the front line of trust. The organisations that treat it that way will win the workforce in the next five years. The ones that do not will be left explaining to inspectors why their systems still ask for the same DBS three times in a year.

There is a better way. We are building part of it. Talk to us if you would like to compare notes.