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Practice · Governance

Governed
by design.

A voice you don't control is a liability. Agency without guardrails is a risk. Every system we build ships with governance built in — packaged, affordable, and made to be used, not filed.

Why it matters

The gap almost nobody has closed.

In recent industry surveys, 86% of organizations say AI has improved productivity — yet 43% still have no structured AI risk-management process. Adoption is racing ahead of control. We package the control.

Standards

Aligned to recognized frameworks

Controls mapped to NIST AI RMF and aligned to ISO/IEC 42001 — with EU AI Act risk classification where it applies. We don't invent a bespoke methodology your auditors then have to reconcile.

Oversight

Human-in-the-loop, by rule

A documented escalation matrix: which decisions the system may support, which require review, and which always belong to a person — with override semantics and named reviewer authority.

Evaluation

Measured before it ships

Every assistant is graded on relevance, groundedness, and citation accuracy against a baseline before go-live — and every future change is graded against the same instruments. The evaluation harness is yours.

Access & audit

Controlled and traceable

Role-based access, data classification, and complete audit logging — who asked what, what the system answered, and what source it relied on. Retained in your environment, not ours.

Reported monthly

System health, on the record.

Governance you can't see isn't governance. Every month the system's health is reported alongside business impact — the numbers most providers never show their clients.

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  • Groundedness
    Is it telling the truth?
    Answer accuracy and citation fidelity against your own knowledge base — scored continuously, not assumed.
  • HITL rate
    How often do humans correct it?
    The human-intervention rate, tracked over time — it should fall as the system matures, and you should see it falling.
  • Exceptions
    Did it stay inside policy?
    Permission and policy exceptions caught by the controls — target zero, reported honestly.
  • Freshness
    Is the knowledge current?
    How much of the knowledge base is up to date, and where the gaps are — detected, not discovered by accident.
Deployment

Cloud or on-premise — your call.

Cloud

Private tenancy, fully managed

Fast to stand up, encrypted, role-controlled, and logged. The default for teams that want speed without giving up ownership — your data and knowledge base remain yours.

On-premise

Sovereign by architecture

The full system runs on your infrastructure, inside your identity, hosting, and logging constraints. For regulated organizations and anyone whose data cannot leave the building.

Included in the knowledge & data audit
A governance gap review of your current AI use

Where your organization stands against NIST AI RMF and ISO/IEC 42001 — and the shortest path to closing the gaps that matter.

Book the full audit