As AI moves into regulated and customer-facing processes, being able to show how a system makes decisions — and that it's governed responsibly — stops being optional. We help you put that structure in place.

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What's included

  • Risk assessment — identifying where an AI system introduces risk around bias, privacy, security or reliability
  • Policy and controls design — usage policies, approval workflows and data handling rules for how AI is built and operated
  • Monitoring and auditing — logging, oversight processes and documentation aligned with the NIST AI Risk Management Framework and emerging EU and local regulation
  • Staff guidance and documentation — so the people using and maintaining the system understand the controls around it
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Who it's for

Organisations deploying AI in regulated or customer-facing contexts — finance, healthcare, legal, HR — who need to demonstrate that their AI systems are governed responsibly. Often paired with a Custom AI & Agentic Systems or Conversational AI build.