"All those (AI) agents need management, automation, scalability control, maintenance, testing and orchestration. This was the central remit that CamundaCon set out to explore. Camunda's process orchestration and automation conference was held this month at the Sheraton New York Times Square Hotel. With end-to-end orchestration in its sights, did the company manage to deliver on its promise of "AI with no BS" (as the banner read on the hotel exterior) or would this event fuel more of the AI hype-cycle?"
"Talkng about the way chatbots are a) very much out there now and users at all levels are being exposed to them... but b) the fact that there is so many instances of bias, hallucination and apparent lack of integration, Freund called out the need for us to change the way we work ith these technologies starting from the backend at the infrastructure level."
""Powerful enterprise-grade agents only come when we have powerful enterprise-grade orchestration to oversee their operation," said Meyer. He notes that deterministic orchestration is all about managing pre-defined patterns and dynamic (or non-deterministic) orchestration is where a language model's job is to decide what the agentic orchestration layer does next... and this could be a complex network of decision tre"
CamundaCon focused on the need for management, automation, scalability control, maintenance, testing and orchestration for AI agents. Widespread chatbot use surfaces bias, hallucination and integration failures, prompting a push to change backend infrastructure approaches. The goal is to reach agentic services capable of autonomous, trustworthy handling of high-value, mission-critical tasks through powerful enterprise-grade agents. Deterministic orchestration manages pre-defined patterns, while dynamic orchestration delegates decisions to language models within a broader operational software stack. End-to-end orchestration and enterprise-grade oversight are presented as prerequisites for reliable agent deployment at scale.
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