Governing the Agentic Enterprise
Control, orchestration and operating models when agents become ubiquitous
10 February
9:00am -4:00pm (ET)
Practical Case Studies
Hear practical case studies showcasing examples of creating value with data in leading organizations.
Exclusive Peer Networking
Exchange with a pre-qualified group of data and AI peers, for valuable, long lasting connections.
Focused Small-Group Discussions
Participate in focused, small group discussions, allowing to dive deeper into the subject.
“Beyond the headlines. Real conversations, practical insights and lessons from peers.”
Chief Data and AI Officer, First Citizens Bank
“Time well spent. Real-world insights from data and AI leaders across industries.”
Director of Enterprise Architecture, National Grid
Welcome from DataIQ.
How do organisations stay in control when AI agents can increasingly act, decide and execute?
Key discussion areas:
• What needs to be governed: agents, models, data access, tools, actions, identities or outcomes?
• Defining risk tiers and permission boundaries based on what an agent can actually do.
• Accountability when an agent makes a decision or triggers an action: business owner, technology owner, vendor or human approver?
• What audit trails, monitoring and controls are needed as agent populations scale?
Who, or what, is in control when multiple agents, humans and enterprise systems work together?
Key discussion areas:
• Orchestrating specialist agents across processes rather than deploying isolated copilots.
• Setting the right points for human-in-the-loop, human-on-the-loop and autonomous execution.
• Managing embedded agents from major enterprise platforms alongside internally built agents.
• Avoiding an unmanaged collection of overlapping agents, permissions and workflows.
• Determining when humans should intervene versus allowing an agent to complete an end-to-end task.
What happens when building AI-powered workflows becomes an everyday business capability?
Key discussion areas:
• The organisational implications of employees being able to create agents without traditional software-development skills.
• New responsibilities across Data, AI, IT, Security, Risk and business functions.
• How organisations prevent agent sprawl while still encouraging rapid experimentation.
• Whether the future operating model shifts from people using applications to people designing and managing digital workforces.
Register your interest below. Our team will review your application and be in touch to confirm your place.
DataIQ Peer Exchanges bring together senior data, analytics and AI leaders from enterprise end-user organisations for open, confidential discussions with peers facing similar challenges.
Attendance is carefully curated to ensure meaningful peer-to-peer exchange. Places are subject to approval, and service providers and consultants are not eligible to attend.
