Designing Governance for Enterprise AI Agents

27 Jan 2027
GMT
3:00pm - 4:00pm

As AI agents begin to access enterprise knowledge and take actions across systems, organisations need governance that is proportionate to the new risks without duplicating controls that already exist. This Accelerator will explore where AI-specific governance is genuinely required, how access, permissions and oversight should develop as agent autonomy increases, and how responsibilities should be divided between central platforms and business units. The conversation is

Discussion questions 

  • What requires new, AI-specific governance, and what can be managed through existing data, technology and risk processes?
  • How should access to company knowledge, permissions and oversight change as agents move from answering questions to taking actions?
  • Which controls should be embedded in a central AI gateway or platform, and which responsibilities should remain with business units?

Who should attend 

This session is designed for senior data and AI leaders who: 

  • Are directly designing or implementing governance for AI agents as their organisation moves beyond experimentation.
  • Work in large, decentralised or multinational organisations where AI tools, data and knowledge span multiple business units and platforms.

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Accelerator format:

DataIQ Accelerators are focused peer-to-peer discussions designed to address, and problem solve around a concrete challenge. Each session brings together a curated group of qualified contributors with relevant expertise to validate ideas, share practical perspectives, and shape actionable next steps. 

What to expect: 

  • Invitation-only, moderated discussions for senior data and AI leaders to share ideas, brainstorm, and learn from collective expertise to solve a specific challenge. 
  • Contributors are asked to actively participate and openly share their experiences. 
  • Hosted under Chatham House rules. 

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How to apply if you are not a client:

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