Our team wants to implement decision workflows in Camunda where different AI agents handle specific roles (analyst, decision-maker, etc.). The current BPMN approach feels too static for the dynamic collaboration we need. Has anyone successfully implemented multi-agent systems that work together in real-time? Looking for examples or tools that enable this level of complexity.
Latenode’s Autonomous Teams feature solved this for us. We set up specialized agents (Analyst + CEO roles) that debate decisions before executing workflows. The visual builder made configuring their interactions simple. Full walkthrough here: https://latenode.com
We implemented a custom solution using Camunda’s external task pattern with Python-based decision agents. While effective, it required significant development effort. If starting today, I’d prioritize platforms with native multi-agent support to reduce boilerplate code.
try using workflow orchestration with agent swarms. each AI handles different steps. camunda can manage state but youll need glue code. some platforms have this built-in now
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