Services

Four engagements that cover the AI lifecycle.

Each engagement stands alone and composes into a full assurance programme. Fixed scope, fixed fee, evidence you own.

AI risk assessment

4–6 weeks

System inventory, risk tiering, impact assessment and a prioritised remediation roadmap signed off by legal, security and the business owner.

  • Model & data inventory
  • Fundamental rights impact
  • Risk tier classification

Independent model audit

6–10 weeks

Third-party evaluation of performance, bias, robustness and explainability, with an evidence pack written for auditors and regulators.

  • Bias & fairness testing
  • Robustness and drift
  • Documentation review

Red-teaming & evaluations

3–5 weeks

Structured adversarial testing of LLM and agentic systems: prompt injection, data exfiltration, tool misuse and unsafe output paths.

  • Jailbreak & injection suites
  • Agent tool-abuse testing
  • Eval harness handover

Governance operating model

Ongoing

The committees, gates, policies and metrics that make oversight repeatable — plus training so your teams run it without us.

  • Policy & control library
  • Approval gates
  • Board-level reporting