AI Governance for Autonomous Business Execution

AI governance is the set of rules, roles and records that decide what AI is allowed to do, who is responsible for the outcome and how a human stays in control. It’s what lets a company give AI real work in live systems with confidence. Without it, one wrong customer email or price change leaves most companies unable to say who approved the action, which rules applied or how to undo it. That’s when they find out they have AI governance in principle but not in practice, because their systems and tools weren’t built to record, approve or reverse what AI does.

This whitepaper, “AI Governance for Autonomous Execution: Human Oversight and Accountability in Practice”, sets out a framework for governing autonomous business execution: deciding what AI may execute, who owns the outcome and how every action stays auditable.

You will learn:

• The accountability chain behind every AI action, from owner to recovery
• Four levels of AI autonomy: runs on its own, human on the loop, human in the loop and blocked
• Four questions that set the right level of human oversight for any action
• How to detect, contain and reverse AI mistakes
• The AI governance questions your CISO, legal team and works council will ask
• What the EU AI Act requires of AI that acts
• Why governance built in from the start makes autonomous business execution possible, and how Gieni ABX delivers outcomes end to end

If you want to learn more about human oversight and accountability for AI, and set yourself up for success as you move from AI that drafts to AI that executes, download the whitepaper.

Who it’s for

COOs, CIOs, CISOs, legal and compliance teams, and leaders bringing autonomous AI across business functions and industries.

Watch: Who is responsible when AI makes a mistake?

Episode 2 of the ABX interview series on AI governance.