Build AI Applications, Tools and Agents

Building GenAI applications isn’t just about powerful models. It’s about solving real business problems by connecting AI to your existing systems, data, and workflows.

At its core, GenAI development is an integration challenge—bringing together AI models, APIs, internal data sources, and business logic. This session will show how to approach that challenge effectively using the right patterns, tools, and infrastructure.

We’ll walk through a real-world business scenario and demonstrate how to turn it into a GenAI-powered experience using WSO2 integrator. You’ll see how traditional, fixed integrations can evolve into intelligent agentic solutions with AI.

In this session, you’ll learn how to:

• Use simple API connections to build quick, low-effort GenAI features.
• Apply Retrieval-Augmented Generation (RAG) to extract insights from large, private data sources.
• Integrate your APIs to AI Agents to build intelligent and dynamic workflows with minimal effort.
• Extend AI Agent’s capabilities easily with model context protocol (MCP) servers.
• Test and iterate rapidly using a prompt-driven development flow, with minimal coding required.
• Deploy confidently with enterprise-grade security, scalability, and governance using WSO2’s Devant.

You’ll leave with practical strategies and foundational knowledge to design, build, and manage secure, governed GenAI applications at scale.