Camunda: Leveraging Agentic AI for Non-Deterministic Process Orchestration

An Intellyx Brain Candy Update

We’ve written about Camunda several times in the past, the most recently in November 2024 when the company added RPA and IDP to its process orchestration and automation platform.

CamundaToday, however, the focus is on agentic AI.

Most vendors who implement process orchestration of AI agents call upon those agents to automate individual tasks that the platform can then orchestrate into workflows. Camunda also supports this straightforward deterministic approach to agentic workflow orchestration.

Where Camunda stands out, however, is its ability to leverage agents for the workflow logic as well, thus enabling non-deterministic workflow automation – automation where the workflow logic depends upon the actions of the agents.

Camunda leverages BPMN’s case management notation to account for this non-deterministic behavior, essentially by representing agent-based actions as automated cases. The company is thus staying true to its long-held BPMN-centricity.

Camunda’s agentic process orchestration maintains short-term state via its established workflow management capabilities while also managing long-term state by tracking interactions and feeding them back to agents via RAG.

Camunda also supports the ability for agents to learn from interactions in previous instances of process orchestrations – an agentic AI capability that today is state of the art.

Copyright © Intellyx BV. Intellyx is an industry analysis and advisory firm focused on enterprise digital transformation. Covering every angle of enterprise IT from mainframes to artificial intelligence, our broad focus across technologies allows business executives and IT professionals to connect the dots among disruptive trends. Camunda is a former Intellyx customer. No AI was used to produce this article. To be considered for a Brain Candy article, email us at pr@intellyx.com.

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