Webinar: io.Intelligence New Release

In this webinar, the interop.io team introduces the latest additions to the io.Intelligence product suite and shows how they support the development of AI assistants and agents on top of io.Connect.

The session begins with the thinking behind io.Intelligence: helping teams bring AI into the enterprise desktop in a more connected, governed, and context-aware way. It then moves into a live demo of an AI assistant operating inside an io.Connect trading workspace, where the assistant can understand workspace context, interact with connected applications, retrieve market data, work with orders, and respond based on selected client context.

What you’ll learn

In this session, you’ll see:

• How io.Intelligence helps teams build AI assistants and agents on top of io.Connect
• How an AI assistant can understand workspace, application, client, and market context
• What io.Assist, AI Web, AI Server, Working Context, and MCP tooling add to the io.Intelligence framework
• How MCP tools can help connect AI assistants to applications, data, and backend services
• How AI can support real enterprise desktop workflows without requiring teams to rebuild their existing io.Connect environments

Who should watch

This webinar is designed for product, engineering, innovation, and technology teams exploring how to bring AI into complex desktop workflows. It is especially relevant for teams building AI assistants, agentic workflows, or context-aware user experiences across trading, financial services, and enterprise application environments.

About the modules covered

io.Assist is the out-of-the-box assistant interface. It provides the chat experience, interaction patterns, and UI layer that users see, while remaining customizable for different enterprise needs.

AI Web is the frontend runtime layer behind the assistant experience. It connects to agentic backends and MCP servers, exposes APIs for building assistant experiences, and helps link AI workflows with io.Connect applications and context.

AI Server supports the backend orchestration needed for enterprise AI workflows, helping teams connect assistants and agents to tools, services, and data sources.

Working Context helps AI understand the work happening across the desktop, including relevant application, workspace, channel, window, and user context.

The webinar also covers MCP tooling, including how MCP can be used to expose io.Connect capabilities, application tools, and backend services to AI assistants in a structured way.

Explore the io.Intelligence documentation to learn more about the modules covered in the webinar and how they can be used with io.Connect.