Hexaware – Chicago – April 23rd, 2026 – RT – Progressive Media International

What Agentic AI Really Means for the Enterprise

Overview:

Agentic AI marks a shift from task-based automation to autonomous systems that can reason, act, and deliver outcomes across enterprise workflows. For CIOs, the priority is moving beyond experimentation toward scalable, governed adoption, anchored in clear use cases, strong data foundations, and trust frameworks. Understanding where agents differ from copilots, RPA, and orchestration is critical to designing the right architecture and operating model. As autonomy increases, governance, risk controls, and new talent models become essential to ensure safe, compliant, and value-driven deployment.

Key Takeaways:

From Concept to Capability

- Start with constrained, high-value use cases
- Mature pilots via integration, data readiness, and measurable ROI

Clearing the Confusion

- Copilots assist; agents act and own outcomes
- RPA/orchestration remains useful but is limited to deterministic tasks

Governance as an Enabler

- Autonomy guardrails, human-in-loop, escalation, kill switches

CIO Operating Model Shift

- New roles: AI product owners, agent supervisors, agent ops
- Strategic choices: build, buy, partner

Agenda:

Time	Session Name

5:00 – 5:45 PM	Registration & networking

5:45 – 6:00 PM	Welcome and context setting

6:00 – 7:00 PM	Moderated discussion on the themes “Concept to Capability: The Path to Adoption and Scale”
	– Clearing the Confusion: Agents, Copilots, RPA, and Orchestration – What’s Actually Different? Governance as an Enabler, CIO Operating Model Shift

7:00 – 7:15 PM	Audience Q&A

7:15 – 8:45 PM	Dinner & networking