AI Governance

Trust is built into the architecture

Autonomy boundaries, human approval, audit trails and safe handoff are product capabilities, not post-launch paperwork.

Control by design

Autonomy has boundaries

The control level follows action risk, evidence quality and the ability to reverse safely.

  1. 01Signal & context
  2. 02Evidence
  3. 03Risk class
  4. 04Act or approve
01

Agents may

Search, match, draft and propose the next action.

02

Human required

Financial, legal and irreversible actions pass an approval gate.

03

Full audit trail

Evidence, input, decision and outcome are retained for audit.

04

Data protection

Sensitive fields are minimised, masked or excluded before entering the agent loop.

05

Quality testing

Scenarios are tested against reference sets, exceptions and explicit stopping criteria.

06

Safe handoff

Low-confidence work and exceptions go to a human with context and evidence.

Reference frameworks

We use NIST AI RMF and the GenAI Profile, ISO/IEC 42001 and the OWASP Top 10 for LLM Applications as control references. This does not imply certification.

Discovery

Map your operating system in 60 minutes