Beyond the Demo: Building Agentic AI Systems That Drive Real Business Impact

​Most enterprise AI projects don’t fail because the models fall short, they fail when moving from pilot to production.

What works in a controlled environment often breaks at scale. Clean data, narrow use cases, and minimal integrations can make pilot results look promising, but production is where real complexity begins and where many initiatives stall.

Modern AI systems are no longer standalone models. They are complex ecosystems of agents, workflows, enterprise data, and integrations operating under real-world business constraints. Without the right engineering and operational foundation, that complexity quickly becomes the biggest barrier to success.

In fact, only 53% of AI initiatives make it to production, and the challenge is rarely the technology itself.

Join us for this session as we break down what it truly takes to move from pilot to production, covering the architecture, governance, cost considerations, and organizational challenges teams must solve to scale AI successfully