Every system we build has governance in the architecture — not bolted on after the fact. Tokenised data, full audit trails, maker-checker gates, role-based access, data residency, and governed prompts are structural. Augmented intelligence by design: the human stays sovereign.
These are the controls a procurement and security review actually evaluates — the ones we run today, not a certification we don’t hold.
PII is tokenised before any prompt reaches a model, and the reversal key stays in your KMS — not ours, not the LLM provider’s. The model works on tokens; only your systems can reverse them.
Every run logs what it saw, every tool it called, every decision, and who approved it — reasoning included, producing an Article-28-ready evidence pack.
Configurable human sign-off on every decision that carries risk. The AI proposes; a named human approves; the decision is logged.
Granular RBAC and tenant isolation across the platform — every action scoped to a role, every boundary enforced.
Sovereign data stays sovereign. Deploy in your cloud or perimeter so geography-aware processing meets your regulatory posture.
A published-prompt state machine and prompt-injection linting — prompts are versioned and reviewed, not edited live in production.
We don’t build AI that decides for you. We build AI that does the volume and surfaces the decision — with a human gate wherever judgement, empathy, or accountability is non-negotiable. Autonomy is a setting you control, not a leap of faith.
That is what makes a system safe enough to put in front of a regulator: not a promise, but the architecture — tokenised data, an immutable trail, and a named human on every step that carries risk.