Agentic AI Digital Summit Day 2
As agent portfolios grow, unclear ownership can slow delivery, lead to duplicate investment, and leave critical risks unmanaged. This session examines how business, technology, data, risk, and transformation teams can share responsibility through an operating model that balances central standards with federated execution.
Key takeaways
When autonomous agents access enterprise systems, use organizational identities, and trigger actions, conventional controls may no longer be sufficient. This session explores the security architecture, permissions, action boundaries, and monitoring needed to keep agents accountable without preventing useful autonomy.
Key takeaways
Scaling agentic AI is not simply a matter of launching more pilots; it requires reusable foundations and disciplined decisions about what moves into production. This session shows how common platforms, components, standards, and measurements can turn successful experiments into a connected enterprise portfolio rather than a collection of fragmented solutions.
Key takeaways
Introducing digital workers changes how tasks, decisions, and accountability are distributed across teams. This session explores how organizations can redesign workflows and roles so employees can supervise, collaborate with, and continuously improve agents, while building the trust and skills needed for adoption.
Key takeaways