The problem.
In regulated operations, the answer to "where did this claim come from" has to be reconstructable. In practice, it usually is not. Claims travel through document handoffs, get paraphrased into summaries, get pulled into training material, get repeated in customer communications — and somewhere along the chain, the source link breaks. By the time a regulator asks, the audit trail is a reconstruction project, not a lookup.
The same problem applies to internal governance. Approval flows that exist in someone's email or a shared drive are not auditable governance — they are governance theatre. When the auditor asks who signed off on a specific change at a specific time, "I think it was Sarah, in a meeting we had last quarter" is not the answer that closes the question.
What we build.
Three classes of system, usually in combination.
- Claim verification. Infrastructure that ties every assertion in a document, module, or workflow back to a verifiable source. AI handles cross-referencing and provenance tracking; humans approve the linkages.
- Audit trails. State-change logging across the operational chain — who changed what, when, on whose authority, with which prior state. Preserved in a form that survives the people who built it.
- Governance workflows. Human-gated review pipelines with explicit approvers, defined gate criteria, and structured handoffs. No content advances without sign-off; the sign-off is the audit record.
Where the work fits.
Compliance work is for organizations where the audit cost is real — sectors with explicit regulatory exposure, large internal review surfaces, or content volumes that cannot be governed manually. We do not retrofit compliance onto generic SaaS workflows. We build the infrastructure into the operational chain where the regulated work actually happens.