From AI Experimentation to Agent Execution: Building Production-Grade AI Systems on a Unified Platform

Session Overview

Over the past two years, enterprises have rapidly adopted generative AI, actively pursuing pilot projects and proofs of concept (PoCs) across their organizations. But now, many companies stand at a critical turning point.

The question has become: how do you move beyond one-off use cases to scalable, production-grade AI systems that create real business value? At the center of this shift are Agentic Systems. AI agents are evolving beyond simple assistive roles — directly executing tasks, orchestrating workflows, and interacting organically with enterprise applications.

In this context, organizations must rethink how they build, operate, and govern AI systems as a whole. This means integrating AI agents with existing applications, designing them around enterprise data and workflows, and ensuring reliability, security, and observability even at large scale.

This session looks at how leading enterprises are moving from experimentation to real execution through an approach that develops and operates applications and AI in an integrated way. Attendees will gain insights into building, deploying, and operating applications and AI agents together within a single unified platform.

Key Takeaways

• Practical insights for designing and operating production-grade agentic systems.
• Strategies for closing the gap between AI innovation and real business outcomes.
• Approaches to operational efficiency through a unified, single-platform development environment.