Camunda, the leader in enterprise agentic automation, has announced a range of new agentic capabilities at its annual CamundaCon in New York City, where more than 500 in-person and 1,300 virtual attendees gathered to discuss the future of automation. With its latest release, Camunda introduces features for simplified development, deployment, improved security, and greater flexibility to ensure organizations can design and orchestrate AI agents in critical business processes with confidence.

“Most agentic AI projects stall at pilot, not because the models aren’t capable, but because there is not yet an architecture available that provides the guardrails to deploy agents to business critical processes without risk,” said Daniel Meyer, CTO, Camunda. “Agentic orchestration changes that equation, giving enterprises control over how much autonomy to grant an agent, bringing control where needed and flexibility where AI shines. By blending deterministic flows with dynamic agents organizations achieve productivity gains that were once out of reach.”

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Complex end-to-end processes often require specialized agents working together. Camunda’s new capabilities form the foundation for building and orchestrating trusted agents at scale with an agentic BPMN (Business Process Model and Notation) approach:

• AI agent connector – Enables agents to operate autonomously within end-to-end processes and integrate with a variety of LLM providers such as Azure OpenAI or AWS Bedrock. Organizations can choose the right model for each use case while optimizing for speed and cost, whether deploying focused task agents or dynamic, stateful process agents; ensuring transparency, compliance and adaptability across critical end-to-end processes.
• Model Context Protocol (MCP) connector – With support for multi-agent communication protocols, agents and processes can auto-discover and invoke enterprise systems with full context. This unlocks more advanced coordination patterns while maintaining the governance and transparency enterprises require.

To support this level of agentic automation, agents need the ability to learn, recall and adapt over time. With Camunda, organizations can turn agent interactions from isolated tasks into continuous, context-aware processes delivering true business value.

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• AI agent composable short-term-memory – Provides agents with conversational context so they can handle follow-up questions and feedback loops without impacting process performance.
• AI agent connector long-term memory (retrieval-augmented generation, or RAG) – Adds retrieval-augmented generation to agents, enabling them to recall past conversations, domain knowledge, or customer data for context-rich reasoning and higher decision accuracy.
• Copilot with FEEL capabilities – Generates, validates, and explains FEEL (Friendly Enough Expression Language) expressions from natural language in Camunda Web Modeler. This makes it easy to integrate AI agent outputs into business rules, ensuring auditable and executable logic.

“Camunda’s proven strength in orchestration made it possible for us to build an advanced medication order management system that delivers consistent, yet personalized and compassionate customer experiences–at scale,” said George Kutnerian, Co-Founder, President & CEO of Wellpointe Inc., a U.S. provider of boutique-style, affordable assisted living and healthcare services. “It’s that same orchestration strength–now coupled with agentic capabilities within the governance we require–that has us excited to unlock even greater efficiency and innovation as we develop transformative care delivery models.”

The latest Camunda release also supports streamlined deployment with a new Orchestration Cluster consolidating Zeebe, Operate, Tasklist and Identity into a single application. This approach simplifies configuration, management and monitoring, while enabling scaling in any direction and guaranteeing high availability and disaster recovery. In addition, security and governance are strengthened with a new identity service that delivers enterprise-grade authentication and fine-grained authorization across both self-managed and SaaS environments.

“Enterprise adoption of agentic orchestration requires a holistic platform. With our latest release we are truly marrying dynamic reasoning with deterministic guardrails, enabling organizations to design AI agents for trust and autonomy,” adds Daniel Meyer. “With this foundation, the vision of the autonomous enterprise, where humans and AI agents work together, is no longer a pipe dream.”