The Agentic Shift: Designing AI That Can Reason, Plan, and Act

‍

AI is moving beyond copilots and chat interfaces. We’re entering the agentic shift — where systems don’t just respond to prompts, but reason, plan, and take action across complex enterprise workflows.

In this AI for Enterprise session, we break down what it actually takes to design and deploy agentic AI in production environments. Not theory — architecture, governance, integration, and oversight.

What You’ll Learn

1. What agentic AI really means — reasoning engines, dynamic planning loops, memory, and autonomous task execution
2. Enterprise readiness — data architecture, orchestration layers, evaluation frameworks, and organizational alignment required to deploy safely
3. Oversight and control — observability, guardrails, auditability, and human-in-the-loop strategies to manage proactive systems in production

If you're responsible for data, AI, governance, or platform strategy, this is the conversation you’ll want to be part of 🧠