As agentic systems move from answering to acting, governance stops being a compliance checkbox and becomes the control layer that makes autonomy safe to deploy. SIB Consulting builds the oversight, risk and assurance frameworks that let agentic AI operate at scale — accountably.
Traditional model governance was built for static, predictable software. Agentic AI plans and acts autonomously — and needs a governance layer designed for that reality, not retrofitted from a decade-old compliance playbook.
Practical expertise, named leaders, measurable outcomes — across every dimension of AI risk, oversight and assurance.
A structured baseline of every agentic and AI system in your organisation — what it does, what it can act on, and where the exposure sits.
Governance structures mapped to recognised frameworks — turning abstract principles into named roles, decision rights and enforceable policy.
Continuous monitoring of what autonomous agents are actually doing — with full explainability and an audit trail that stands up to scrutiny.
Governance that reports upward — giving boards and regulators confidence that agentic AI is operating inside agreed limits.
Only around 8% of organisations globally have a comprehensive AI governance framework — even though 88% are already running AI in production. If you operate across more than one of the jurisdictions below, that's not one compliance problem. It's several, and they don't agree with each other.
EU AI Office under the binding, risk-tiered EU AI Act — the highest fines in the world for non-compliance.
No single federal AI law. Sector regulators (FDA, FAA, NHTSA, EEOC, FTC) plus roughly 38 states with their own AI statutes.
Cyberspace Administration of China, with MOST and MIIT. Generative AI and recommendation algorithms must be registered with the state.
Federal AI and Data Authority — a single, centralised body combining AI policy, digital economy and data governance.
The pattern across recent enforcement — from the FTC's five-year ban on Rite Aid's AI facial recognition, to a May 2026 federal court ruling that an organisation "cannot escape liability by scapegoating" the AI tool it deployed — is never really the model failing. It's the absence of a human process wrapped around it: no owner, no oversight, no paper trail.
SIB Consulting's AI Governance practice is co-led by two named experts spanning autonomous systems and ESG governance — not a generic team.
Whether you're mapping first-time AI risk or preparing for regulatory scrutiny, SIB Consulting brings named expertise to every stage of your AI governance journey.
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