AI governance & security

• Bounded authority by default

  Every agent we build has an explicit, enforced boundary on what it may decide alone versus what requires approval.

• Human-in-the-loop where it matters

  Approval gates and confidence thresholds are architectural decisions made with you, not a feature added after the fact.

• Data protection as a design constraint

  Residency, retention, redaction and access control are decided before the first model call leaves your network — not reviewed afterwards.

• Evaluation is part of the definition of done

  Every AI system ships with a golden dataset and regression tests. If quality cannot be measured, we do not consider the work finished.

• Full observability

  Every agent decision and tool call is traced, so a wrong answer can be explained rather than guessed at.

• Fallback and degradation, always

  Every integration has a defined behaviour for when a model is unavailable, slow, or unsure — the process must still complete.

We do not hold SOC 2 or CMMI certification at this time. If your engagement requires a specific compliance framework beyond the two above, tell us early — we will either confirm we can meet it or tell you honestly that we cannot yet.