Organizations have spent years building API-first and event-driven architectures, yet understanding and operating modern integration landscapes still depends heavily on tribal knowledge. Critical information is scattered across API specifications, event streams, monitoring tools, documentation, business domains and operational dashboards.

This talk introduces the concept of an Intelligence Domain: a new architectural layer within the integration platform that continuously consumes APIs, events, metadata, telemetry, and business context to create a cognitive view of the ecosystem. Rather than adding a chatbot on top of existing tools, this domain becomes a first-class platform capability that understands how systems, events, consumers, and partners are connected.

Combining event-driven architecture, knowledge graphs, semantic search, and AI agents through standards such as MCP (Model Context Protocol), the platform can answer questions like: Which consumers are affected by this schema change?, Why are partners missing updates?, or Which integrations should be modernized or retired?

Attendees will learn how integration platforms can evolve beyond exposing capabilities to becoming intelligent systems that understand, operate, and optimize the APIs and events they manage.

The next evolution of integration is not just API-first or event-driven—it is AI-native.