Agentic AI in Enterprise: Hype vs. Operational Reality

Everyone talks about AI agents. But when companies try to use them in real environments, things get more complicated.

Enterprise systems come with legacy infrastructure, strict governance rules, and complex data environments. Connecting AI agents to these systems – and making them reliable – is where many projects stall.

If you’re responsible for innovation, product strategy, or enterprise architecture, you’ve likely faced three things:

• AI prototypes that work in demos but break inside real systems
• Data scattered across platforms, APIs, and internal tools
• Uncertainty around governance, accountability, and risk when AI systems act autonomously

This session looks at how companies are starting to solve these challenges.

You’ll see learn agentic AI can:

• Connect to internal documents, structured data, and business rules
• Work within existing enterprise architecture using APIs and data layers
• Address legal and governance questions such as IP ownership and accountability
• Move beyond isolated demos toward production-ready systems

We’ll also build a live prototype, showing how AI assisted coding tools (like Claude Code) can turn ideas into real prototypes in minutes.
This session is ideal for:

• Innovation & digital transformation leaders
• CTOs, enterprise architects, and engineering leads
• Chief Product Officers and product leaders
• AI program leads running GenAI pilots
• Data governance and AI risk professionals
• Legal and compliance executives