Building Enterprise AI: Inside Cloudaeon’s RAG, MCP and Agentic Frameworks

Artificial intelligence is rapidly evolving from experimentation to enterprise scale engineering. Yet many organisations struggle to turn AI pilots into governed and reliable operational systems. Models work in silos, starving context and control, while fragmented data and disconnected tools add layers of complexity.

Recent studies show that while nearly 8 in 10 enterprises are experimenting with AI, only a few are successful. Instead of accelerating transformation, AI ends up slowing it. This leaves leaders searching for a way to unify intelligence and governed data into one integrated system.

At Cloudaeon, we help enterprises close that gap. Our Data and AI leaders have built practical frameworks that make AI easier to scale and manage, turning scattered initiatives into a connected system where intelligence and automation work together.

Featuring guest speaker:
Dan Harris- CRO, Cloudaeon
Amol Malpani- CTO, Cloudaeon
Ashutosh Suryawanshi- Tech Lead, Cloudaeon

In this webinar, you’ll see in action:

• RAG accelerator that delivers accurate, enterprise grade answers from all your data, with built in feedback loops that continuously enhance quality and trust faster.

• Leverage the MCP Server Hub to unify organisational knowledge by connecting databases, Confluence, APIs and more for context rich AI agents.

• Deploy the A2A Server to enable shared, reusable AI agents that collaborate and scale across teams and projects.

Together, these form the foundation of an intelligent enterprise, one where AI is transparent and built for scale. With Cloudaeon’s experience in enterprise delivery, you can move from isolated experiments to real business impact with confidence.

Submit your use case and get a free AI Proof of Concept. See how Cloudaeon can turn your ideas into enterprise scale results.