With the advent of AI, developing integrations in Microsoft Azure is also taking a new turn. Where integrations or workflows were previously defined according to a fixed process, AI now enables a radically different approach. Use Conversational & Multi-Agent capabilities to make processes dynamic.

Topics covered:

• Agentic workflows using Azure Logic Apps

  • Agent loop

  • Conversational agents in Standard Logic Apps

    • Build conversational agents that can be controlled from a chat or create multi-agents to delegate tasks to specific context-aware agents.

  • Dynamic connections

    • Connections to a given service can be authorized by the client and executed in the user’s context.
    • Based on OAuth On-behalf-of flow.

  • Autonomous agents in Standard Logic Apps

  • Autonomous agents that, based on a trigger, can execute a set of tasks according to system instructions, where the process to follow is written as an instruction.

• Now alongside low-code: High-Code Logic Apps with Codeful workflows (preview)

  • Based on the Durable Task Framework from Azure Functions.

Target audience Anyone involved with the Azure Integration Services stack.

Prerequisites Basic knowledge of AI.