Most organizations don’t lack AI governance, but they may lack the right kind. Enterprises need execution-level guardrails, real-time oversight frameworks, and cross-functional accountability structures that scale with autonomy. Join senior leaders in AI risk, strategy, and compliance to unpack how they are evolving governance from checkbox compliance to a proactive operating system for autonomy to simultaneously protect the business while unlocking innovation.
Unpack unique considerations of agent governance
Translate principles (safety, transparency, accountability) into engineering and workflow design
Consider chain-of-accountability models and discuss who owns decisions, outcomes, and failures?
Hear examples of what controlled autonomy looks like in practice
Discuss human approval points vs automated guardrails
Determine how to govern agent interactions, not just single models
Prepare for global AI rules when your agents operate across borders
Build executive confidence and employee trust in autonomous workflows
Check out the incredible speaker line-up to see who will be joining Ash.
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