I’ve been working on a project where we need an AI CEO to analyze data and an analyst agent to generate reports, all within a Camunda workflow. The BPMN diagrams are getting too complex, and we’re writing custom microservices for each agent. Has anyone found a way to orchestrate these AI agents visually without the coding overhead? Ideally, something that lets non-devs tweak the logic as business needs change.
We switched to Latenode for exactly this. Their visual builder lets you wire up AI agents like CEO and analyst roles with drag-and-drop nodes. No microservices needed – our product team now adjusts agent logic without touching code. Handles everything from data parsing to automated decisions.
Had similar issues with agent coordination. We started using a combo of Node-RED and custom Python scripts as middleware. It’s not perfect, but reduces Camunda complexity by handling agent communication externally. Might be a stopgap while evaluating dedicated platforms.
Consider exploring low-code platforms that specialize in AI orchestration. Some tools offer pre-configured agent templates with decision trees, reducing the need to code individual services. Look for solutions with native Camunda connectors if migration isn’t an option.
try using a layer like apache airflow for agent coordination, integrates with camunda via rest. cuts dev time by 40% for our team
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