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Camunda Announces New Features for Agentic AI Orchestration
Camunda, a leading workflow automation platform, has unveiled updates to its agentic AI orchestration capabilities. This new feature equips users with detailed instructions for using Camunda's AI Agent to leverage agentic orchestration in their processes.
Camunda takes a methodical approach to AI agents by building upon the robust foundation of Business Process Model and Notation (BPMN). Central to this strategy is the BPMN ad-hoc sub-process, which allows for tasks to be executed in an order that can be determined dynamically at runtime based on the process instance's context.
This pattern introduces dynamic, non-deterministic behavior into otherwise deterministic process models. Within Camunda, the ad-hoc sub-process serves as the agent's decision workspace—a flexible execution container where large language models can assess available actions and decide the most appropriate next steps in real time.
To further enhance the flexibility of agentic orchestration, Camunda has introduced the AI Agent Outbound connector and the Embeddings Vector Database connector. These tools enable seamless integration of deterministic flow control with AI-driven decision-making, supporting both high-volume straight-through processing (STP) and adaptive case management.
Empowering AI agents to plan, reason, and collaborate in complex environments, this advancement signifies Camunda's ongoing commitment to increasing the capabilities of its AI Agent and providing users with powerful, dynamic automation tools. The company anticipates continued development of richfeatures and capabilities in this area.
Camunda's deliberate approach to AI orchestration is designed to meet the demands of next-generation automation. It ensures that AI orchestration remains adaptive, goal-oriented, and smoothly interoperable across complex, distributed systems.
As part of this evolution, Camunda has integrated Retrieval-Augmented Generation (RAG) into its orchestration fabric. RAG enables agents to retrieve relevant external knowledge such as historical case data or domain-specific content, and use that context to generate more informed and accurate decisions. This is operationalized through durable, event-driven workflows that coordinate retrieval, reasoning, and human collaboration at scale.
Camunda supports this with its new Embeddings Vector Database Outbound connector, a modular component that seamlessly integrates RAG with long-term memory systems. This connector is compatible with various vector databases, including Amazon Managed OpenSearch and Elasticsearch.
With this setup, agents can inject knowledge into their decision-making loops by retrieving semantically relevant data at runtime. This same mechanism can also be utilized to update and evolve the knowledge base, enabling self-learning behaviors through continuous feedback.
To help users implement agentic AI orchestration, Camunda provides a step-by-step guide, accompanied by a video tutorial and a GitHub repository with the assets used in the exercise. The guide will walk users through each step, from creating the initial high-level process design to configuring connectors, implementing the process, and running it.
Understanding the key components and processes involved in Camunda's agentic orchestration can equip organizations with the tools necessary to streamline their operations and improve decision-making processes. By integrating AI agents into their workflows and ensuring clear task boundaries, businesses can enjoy the benefits of predictability, reliability, and scalability.
With these updates, Camunda continues to push the boundaries of automation and demonstrate its commitment to helping businesses optimize their operations through advanced, adaptive, and AI-driven solutions.
The updated Camunda AI Agent, integrating technology such as artificial-intelligence, now provides detailed instructions for users to leverage agentic orchestration in their processes, aligning with the company's strategy of building AI agents using Business Process Model and Notation (BPMN).
With the addition of the AI Agent Outbound connector and the Embeddings Vector Database connector, Camunda's agentic orchestration capabilities not only support high-volume straight-through processing but also enable AI-driven decision-making, making it a powerful tool for businesses.
