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AI compliance and risk assessment.

AI rules are landing faster than teams can absorb them. We treat compliance as a workflow: each obligation detected, routed to a named owner, fixed, and verified — with evidence you can hand to an auditor.

AI risk assessmentObligation trackingAudit evidence

wave 03 · monthly batchfig. 01

From obligation to evidence.

The audit picks one obligation and follows it through the people and systems it touches. We do not start from a policy binder.

  1. AI risk assessment

    Where AI and personal data actually run in your business, classified by risk, with draft assessments your counsel can mark up rather than write from scratch.

  2. Obligation monitoring

    The rules your team already tracks — EU AI Act, GDPR, sector guidance — filtered to the systems and workflows they actually touch.

  3. Systems mapped to owners

    A living catalog of systems, models, and data flows with a named owner for each, so no task is ever assigned to “someone”.

  4. Compliance tasks in waves

    Obligations broken into small, owned tasks and sent in predictable batches — not as a fire drill the week before a deadline.

  5. Evidence and audit trail

    Every closed task documented the same way: what changed, who changed it, and when, in a format an auditor can follow.

  6. Verification, not just closure

    Checks that confirm the underlying issue is actually fixed — and reopen the task if it comes back.

  7. Training for the team

    Workshops for the people who own the tasks: what the rules ask of their systems, and how to close a task so it stays closed.

Same method. Your obligations.

A workflow audit first. Then workshops, a custom build, or both. An AI-partner retainer only when something is in production and you want it looked after.

We are engineers, not your counsel. The legal judgement stays with your lawyers — we build the system that applies it, tracks it, and documents it.

See our services

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