Camunda offers a robust and developer-friendly platform for orchestrating complex workflows across micro services and legacy systems. As a leader in Data Analytics, I appreciate its BPMN based modeling which allows both technical and business teams to collaborate effectively.

What I really appreciate about Camunda is its foundation on open standards like BPMN and DMN. This approach ensures that everyone on the team, from business analysts to developers, can clearly understand our processes. It doesn't operate as a mysterious black box; instead, you can visually track and audit every step. I also value how developer-friendly Camunda is without being unnecessarily complicated. The REST APIs are reliable, and integration with our existing tech stack is seamless, particularly since we use Java and Spring Boot. There's no sense of being locked into their ecosystem—Camunda works well with any services you need to orchestrate. At CamundaCon 2025, I was especially intrigued by their vision for agentic orchestration. Using Camunda as a governance layer for AI agents seems logical, as oversight and auditability are crucial when AI is involved in critical business processes. The scalability offered by Camunda 8 and Zeebe is impressive as well. Hearing real-world examples at the conference of companies running high-volume processes reassured me that Camunda is capable of handling enterprise-scale workloads reliably.

Camunda has significantly contributed to improving our business operations, largely due to its robust workflow orchestration capabilities. At JPMorgan Chase, we employ both Camunda 7 and Camunda 8 in our product. I find Camunda intuitive and easy to use, which makes the process of learning and implementing it quite straightforward. I am looking forward to use Agentic AI capabilities and Camunda con 2025 provided valuable insights about the same. I am grateful to entire Camu da team.