Camunda Writes New Score For Agentic AI Orchestration

Forbes

22-04-2025

Agents abound. Not just in special agent movies from James Bond to Men in Black, where fictional but occasionally lovable agents fight to save the world and make our lives better… agents also exist in the new world of agentic artificial intelligence, where they might just be striving to do the same thing. A major part of the way the still-burgeoning rise of AI is now skewing, agentic AI functionalities are designed to provide human-like intelligence, deduction and reasoning inside increasingly autonomous and non-deterministic AI services that can work things out for themselves.
As agentic AI now starts to find its way into enterprise software platforms and applications at every level (and we can not stress the ubiquity of hard-core tools and a few flaky pretenders enough), we will need a new subset of infrastructure capabilities to keep the agents in line.
Berlin, Germany-headquartered process orchestration company Camunda thinks it can help agentic AI play the right tune and stay in harmony with accurate business objectives and rules inside the new digital workplace. The company is now offering agentic orchestration capabilities designed to help organizations model, deploy and manage AI agents.
What does any of that mean in real but straightforward software engineering terms?
The company says it is a question of allowing users (generally data scientists, software developers and AI engineers) to create a harmonized blend of 'deterministic orchestration' through standardized business process model and notion techniques (actions taken to drive AI tools towards defined goals, objectives, data payloads and information endpoints) alongside a heady but compelling mix of 'non-deterministic orchestration' (woven in use of AI agents, who are going to work things out for us based upon the datasets, pattern recognition opportunities, models and reasoning engines we expose them to) so that software and business teams can implement as much or as little AI as they want within guardrails.
Camunda further defines the deterministic non-deterministic approach when specifically applied to process execution.
This technology is built to deliver agentic process orchestration capabilities that enable organizations to operationalize and control AI by blending deterministic process execution (driven by logic defined at design time) and non-deterministic process execution (directed by logic determined at runtime, using AI models and runtime data) from one platform. This balance has been designed to enable compliance and standardization where needed. It also comes with the ability to introduce a resilient level of AI-powered personalization and adaptability.
In addition to its agentic orchestration capabilities, Camunda is now introducing AI-powered features for what it calls dynamic, intelligent decision making and process generation.
"To unlock AI's full potential, organizations must move beyond isolated applications and operationalize AI within a holistic, composable enterprise architecture… one that seamlessly integrates AI with people, systems, and devices," said Daniel Meyer, CTO at Camunda. 'Our new agentic process orchestration capabilities provide the control and transparency needed for compliance, while harnessing AI-driven decision making to enhance automation, optimize operations, and scale business processes efficiently.'
According to Camunda's 2025 State of Process Orchestration and Automation Report, 84% of IT and business leaders are looking to add more AI capabilities over the next three years. This is clearly neither a surprise or a revelation, similar estimates of this kind are abundant; what might be interesting (whether the figure is 66%, 84% or 93.5%) is how organizations attempting to graft agantic AI onto their business processes will be able to scale and operationalize AI across their business.
The latest Camunda release includes several other AI-powered features and task automation capabilities. Ad-hoc sub-processes enable tasks to be activated dynamically, removing the need to define the task sequence beforehand. By using the above-noted business process model and notation approach (widely known in this sector of tech as BPMN) ad-hoc sub-processes, AI agents can autonomously manage tasks within a defined area of scope, executing them in any order, repeating steps as needed, or skipping them based on changing real-time conditions.
Camunda's built-in support for ad-hoc sub-processes and AI connectors means organizations can more confidently experiment and build AI into their processes with reduced risk.
Camunda Copilot allows users to generate BPMN diagrams from any text input, whether for simple natural language or legacy code, or when generating documentation or suggestions from existing diagrams. Through the use of chat functions, technical and business users can ask follow-up questions, test use cases and iterate to extend and augment processes to address business requirements and ensure certain steps occur. This saves time, reduces manual effort, and increases the quality of process models.
Camunda robotic process automation technology offering is intended to give users the ability to integrate and bridge legacy systems without application programming interfaces, create and orchestrate bots, elevating isolated task automation into scalable, end-to-end process orchestration to fully operationalize AI across all people, systems and devices.
Camunda Intelligent Document Processing allows users to transform documents into data with AI-powered document processing, providing the flexibility to choose any large (or small) languard model and then customize and extend the software. It can convert non-machine-readable documents into structured data, making them accessible and actionable for AI-driven automation and decision making.
According to CTO Meyer, Camunda SAP Integration allows users to modernize an ERP landscape, confidently migrate to S4/HANA and systematically introduce AI and automation through end-to-end orchestration to truly operationalize AI across all people, systems and devices; including ERP. Camunda SAP Integration is the first of a series of 'system of record' integrations.
Camunda is clearly working to orchestrate AI and automation through techniques designed to bring harmony to what might otherwise be a cacophony (last symphonic pun here, we promise) with software tools, AI agents, APIs and other connections all creating white noise.
Because broken and disjointed business processes annoy users (your bank credit card approval is essentially handled by a machine, if your postal address doesn't tally with previous records even though you have updated it on your banking app but not in your branch, you may be rejected… and so on), so there is obviously a need to for highly scalable orchestration layer processes that work in real-time data with the ability to support high transaction volumes and personalized customer experiences. That's what Camunda does.
The name Camunda may be derived from the Latin verbs "capere" (to comprehend) and "munda" (clean), so let's hope for a terra mundata (clean world) for AI agents to operate across in future.