Additional information
by Magwenjere (Author), Billy Sticker (Author)
Artificial intelligence is no longer a future risk. It is a present one - and most boards are not governing it.
AI systems are already making decisions inside your enterprise. They influence who gets credit, who gets hired, how capital is allocated, and how risk is reported. The technology has moved fast. Governance has not.
Governing the AI Machine closes that gap.
Built from fifteen years in enterprise risk management and AI governance, and shaped by work with more than 2,000 businesses worldwide, the G.A.M.E. Framework gives leaders a proven architecture for governing AI with the same rigour applied to financial reporting and regulatory compliance.
Inside this book, you will learn how to:
- Recognize why AI is an enterprise risk, not a technology risk, and why that distinction determines everything about how it must be governed
- Place AI formally inside your enterprise risk register with clear ownership, controls, and escalation pathways
- Close the board blind spot: the structural gap between what management reports and what directors actually need to exercise meaningful oversight
- Govern AI agents, autonomous systems that act rather than just respond, across platforms like OpenClaw, Hermes, Argo Agent, and others using governance-first frameworks like NVIDIA's NeMo Guardrails
- Apply the G.A.M.E. Framework across regulated sectors including financial services, healthcare, and employment
- Turn governance maturity into competitive advantage, scaling AI with confidence because exposure is bounded, visible, and controlled
- This is a governance manual for executives and board members accountable for enterprises where AI is already operating - and already producing consequences.
Govern the machine. Protect the institution. Build for the long horizon.
