AI Governance
Govern AI with accountability from the beginning.
We help organizations create practical governance for AI systems, including clear ownership, risk assessment, policies, controls, monitoring, and readiness for evolving management system expectations.
Responsible AI in practice
Governance should answer practical questions: What AI systems are being used? Why are they being used? Who owns the decision? What risks matter? What evidence shows the controls are working?
Our work can include AI inventories, risk classification, governance frameworks, policy development, control design, third party AI risk, human oversight, monitoring, and ISO/IEC 42001 readiness support.
