AI Governance model – aligned with organization maturity, integrated with legal, IP, data privacy, security, ethics and more
Implement Responsible AI tooling to surface, mitigate, manage risks through organization
Assurance -Testing, monitoring, and compliance with AI systems, evaluating fairness, bias, safety, transparency, and accuracy
A comprehensive RAI approach - equal doses of governance, risk and compliance with quality, security & privacy
Responsible AI program with governance as an “ innovation function”
AI aware workforce that can identify, action & monitor risks across AI value chain
AI registry, procurement guide, AI policies & guardrails, Operating Model, and more
Secure by design practices and implementation from use case identification to monitoring