This is the third episode in a three-part series titled "From Pilot to Scale: Three Critical Success Factors for Your Agentic Decision Intelligence Journey." The series covers the three factors behind agentic decision intelligence programs that scale quickly: a clear, phased roadmap; an operating model that reaches across the whole organization; and agentic AI to accelerate impact.
Decision intelligence has long reasoned, recommended, acted, and learned through deterministic logic. Agentic AI extends that to the decisions deterministic logic cannot anticipate: the novel, situational ones where the context is different every time. For enterprises building decision intelligence, the practical question is how to bring that capability in deliberately, and where it adds the most across the value chain.
This episode shows what agentic AI changes and where it compounds. Inside Aera, Agentic Ambient Intelligence reasons through business situations within the decision environment itself, with your data, governance, and decision history already in context, and executes within the boundaries you set.
In this session, experts from Deloitte and Aera Technology will work through how to apply it. You will learn how to:
Understand what agentic AI is, how it differs from traditional AI and machine learning, and why it matters for decisions
Identify where agentic AI amplifies decision-making across your value chain
Integrate agentic AI into your existing roadmap without disrupting progress
Govern autonomous decision agents with the boundaries, controls, and oversight that keep them trusted
Join experts from Aera and Deloitte to see how agentic AI works as an accelerator rather than a distraction.
Speakers:
Archana Ravi
Solutions Engineering Director
at Aera Technology
Kevin Overdulve
Partner, Supply Chain & Network Operations Practice Leader
