Use case

AI for compliance teams

Document review, policy enforcement, and audit logs built for regulated environments — not vibe-coded.

What teams hire us for

Three jobs Compliance teams hand to us

  • Document review at scale

    Contracts, KYC, attestations — flagged consistently with a defensible log.

  • Policy enforcement

    Every output checked against your policy library.

  • Audit-grade event logging

    Every AI decision logged. Survives a regulator's scrutiny.

What we build

Things we build for Compliance teams

  • Document review at scale

    Contracts, KYC docs, policy attestations — read consistently, flag deviations, write a defensible log.

  • Policy enforcement

    Checks every output against your policy library. Logged, traceable, explainable to auditors.

  • Audit-grade event logging

    Every AI decision logged with inputs, model, prompt, output, reviewer. Survives a regulator's scrutiny.

  • Policy drift detection

    Compares this quarter's published policies against last quarter's. Flags drift the team didn't track.

Time lost, made visible

Start with the hours your Compliance team loses

We find where the team loses time, show what it costs, and build the fix. Three services take you from finding the jobs to your team using the result.

  • AI consulting

    Find where AI pays off: the jobs ranked, what each costs today, and what to do first.

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  • AI implementation

    Put it to work and keep it running: AI does the volume, a person checks the result.

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  • AI training

    Make the team use it: role-specific training tied to the workflows we build.

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Questions

Common questions

What does 'audit-grade event logging' actually mean in practice?

Every ai-touched decision logs the inputs, model, prompt version, raw output, reviewer, and timestamp — retained per your data policy. for the regulated financial services firm, the next audit cycle found zero process exceptions because every contract-review suggestion was reproducible from the log.

Our auditors don't know how to question ai tools — does this help?

That's the point. the audit log is built so a regulator (fca, finra, the internal audit team) can ask 'why did the model flag this clause?' and get an answer with the prompt, the model version, the document text it saw, and the human reviewer who signed off. we run a session with your audit team during handover so they know what to ask.

What regulations and obligations does this work cover?

We build to the obligations relevant to your business: gdpr, eu ai act, fca guidance, hipaa, uk dpa 2018, sector-specific codes. we are not a law firm — the audit log and policy enforcement are written to be actionable by your in-house counsel or compliance lead, not to replace them. for deeper policy work, see the governance and policy design service.

Tell us which job takes the most time.

30 minutes. No preparation needed. We will tell you honestly whether AI can help, and where to start.