Camunda Brings Agentic Orchestration to the Enterprise
Camunda, the leader in process orchestration and automation, has announced new agentic orchestration capabilities to help organizations model, deploy, and manage AI agents seamlessly into their end-to-end processes. Additionally, Camunda is introducing a host of AI-powered features for dynamic, intelligent decision making and process generation.
This press release features multimedia. View the full release here:
Camunda allows users to blend deterministic orchestration (via BPMN) with non-deterministic orchestration (via agents) so you can implement as much or as little AI as you want within guardrails.
'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,' commented 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. However, 85% state they face challenges being able to scale and operationalize AI across their organization. Camunda's agentic process orchestration capabilities enable organizations to operationalize AI with flexibility and control by blending deterministic (logic defined at design time) and non-deterministic (logic is determined at runtime, using AI models and runtime data) process execution. This balance ensures compliance and standardization where needed, while introducing AI-powered personalization, adaptability, and resilience wherever it is beneficial.
The latest Camunda release includes several other AI-powered features and makes some previously announced task automation capabilities generally available.
Ad-hoc Sub-processes – Enable tasks to be activated dynamically, removing the need to define the task sequence beforehand. By utilizing BPMN (Business Process Model and Notation) ad-hoc sub-processes, AI agents can autonomously manage tasks within a defined scope, executing them in any order, repeating steps as needed, or skipping them entirely based on real-time conditions. Camunda's built-in support for ad-hoc sub-processes and AI connectors means organizations can confidently experiment and build AI into their processes with reduced risk.
Camunda Copilot – Quickly generate BPMN diagrams from any text input, whether it's simple natural language or legacy code, or generate documentation or suggestions from existing diagrams in seconds. Through chat, technical and business users can ask follow-up questions, test use cases, and iterate on processes to address business requirements and ensure certain steps occur. This saves time, reduces manual effort, and increases the quality of process models.
Camunda RPA (Robotic Process Automation) – Seamlessly integrate and bridge legacy systems without APIs, 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 IDP (Intelligent Document Processing) – Transform documents into actionable data with AI-powered document processing, providing organizations with the flexibility to choose their LLM and customize and extend the solution to fit their needs. Convert non-machine-readable documents into structured data, making them accessible and actionable for AI-driven automation and decision making.
Camunda SAP Integration – Modernize your 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. As a SAP PartnerEdge Build Partner, Camunda also makes it available to customers through the SAP Store.
'This product release is a key piece of the AI and automation puzzle, helping organizations maximize their investments,' said Daniel Meyer. 'With Camunda's composable architecture, organizations aren't locked into a single AI or automation technology which often results in broken, disjointed processes that frustrate both customers and employees. What's more, our highly scalable orchestration layer processes real-time data and high transaction volumes, enabling personalized customer experiences and proactive employee support.'
More information:
- Dive deeper into the new capabilities in this blog article.
- Experience the new features in action and join Camunda's product management team on April 10 at 11am EST / 5pm CEST in the webinar Camunda 8.7: Agentic Orchestration for the Enterprise
About Camunda
Camunda enables organizations to orchestrate and automate processes across people, systems, and devices to continuously overcome complexity, increase efficiency, and fully operationalize AI. Built for business and IT, Camunda's leading orchestration and automation platform executes any process at the required speed and scale to remain competitive without compromising security, governance, or innovation. Over 700 companies across all industries, including Atlassian, ING, and Vodafone, trust Camunda with the design, orchestration, automation, and improvement of their business-critical processes to accelerate digital transformation. To learn more, visit camunda.com.
+44 020 7436 0420
SOURCE: Camunda
Copyright Business Wire 2025.
PUB: 04/08/2025 11:00 AM/DISC: 04/08/2025 11:03 AM
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
29 minutes ago
- Yahoo
MongoDB Soars 14.2% After Crushing Q1 -- $1B Buyback, AI Push, and Customer Surge Spark Rally
MongoDB (NASDAQ:MDB) is off to a fast start in fiscal 2026and investors might want to take a closer look. The company reported $549 million in Q1 revenue, up 22% from last year, with its cloud product, Atlas, growing 26% and now making up 72% of total sales. Management added 2,600 new customers, marking the biggest quarterly gain in six years. The share is up 14.2% at 12.09pm today. CEO Dev Ittycheria pointed to strong traction from both enterprises and startups as AI workloads and modern app development continue to drive demand for flexible, cloud-native databases. Behind the scenes, MongoDB is becoming a cash machine. The company more than doubled non-GAAP operating income to $87.4 million and posted $105.9 million in free cash flowup 74% year-over-year. With $2.5 billion in cash and short-term investments on hand, it just authorized another $800 million in share repurchases, taking its total buyback program to $1 billion. That kind of financial firepower could give MongoDB more room to support long-term growth while returning capital to shareholders. On the AI front, MongoDB isn't just playing defense. It rolled out new retrieval modelsVoyage 3.5 and 3.5 Litethat improve accuracy and efficiency for building AI-powered apps. It also debuted its Model Context Protocol Server, which connects MongoDB to tools like GitHub Copilot and Anthropic's Claude, letting developers use natural language to interact with their data. With FY2026 revenue guidance raised up to $2.29 billion and full-year non-GAAP EPS projected to hit as high as $3.12, MongoDB could be shaping up as a quiet leader in the AI infrastructure race. This article first appeared on GuruFocus. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
The Verge
40 minutes ago
- The Verge
Anthropic launches new Claude service for military and intelligence use
Anthropic on Thursday announced Claude Gov, its product designed specifically for U.S. defense and intelligence agencies. The AI models have looser guardrails for government use and are trained to better analyze classified information. The company said the models it's announcing 'are already deployed by agencies at the highest level of U.S. national security,' and that access to those models will be limited to government agencies handling classified information. The company did not confirm how long they had been in use. Claude Gov models are specifically designed to uniquely handle government needs, like threat assessment and intelligence analysis, per Anthropic's blog post. And although the company said they 'underwent the same rigorous safety testing as all of our Claude models,' the models have certain specifications for national security work. For example, they 'refuse less when engaging with classified information' that's fed into them, something consumer-facing Claude is trained to flag and avoid. Claude Gov's models also have greater understanding of documents and context within defense and intelligence, according to Anthropic, and better proficiency in languages and dialects relevant to national security. Use of AI by government agencies has long been scrutinized because of its potential harms and ripple effects for minorities and vulnerable communities. There's been a long list of wrongful arrests across multiple U.S. states due to police use of facial recognition, documented evidence of bias in predictive policing, and discrimination in government algorithms that assess welfare aid. For years, there's also been an industry-wide controversy over large tech companies like Microsoft, Google and Amazon allowing the military — particularly in Israel — to use their AI products, with campaigns and public protests under the No Tech for Apartheid movement. Anthropic's usage policy specifically dictates that any user must 'Not Create or Facilitate the Exchange of Illegal or Highly Regulated Weapons or Goods,' including using Anthropic's products or services to 'produce, modify, design, market, or distribute weapons, explosives, dangerous materials or other systems designed to cause harm to or loss of human life.' At least eleven months ago, the company said it created a set of contractual exceptions to its usage policy that are 'carefully calibrated to enable beneficial uses by carefully selected government agencies.' Certain restrictions — such as disinformation campaigns, the design or use of weapons, the construction of censorship systems, and malicious cyber operations — would remain prohibited. But Anthropic can decide to 'tailor use restrictions to the mission and legal authorities of a government entity,' although it will aim to 'balance enabling beneficial uses of our products and services with mitigating potential harms.' Claude Gov is Anthropic's answer to ChatGPT Gov, OpenAI's product for U.S. government agencies, which it launched in January. It's also part of a broader trend of AI giants and startups alike looking to bolster their businesses with government agencies, especially in an uncertain regulatory landscape. When OpenAI announced ChatGPT Gov, the company said that within the past year, more than 90,000 employees of federal, state, and local governments had used its technology to translate documents, generate summaries, draft policy memos, write code, build applications, and more. Anthropic declined to share numbers or use cases of the same sort, but the company is part of Palantir's FedStart program, a SaaS offering for companies who want to deploy federal government-facing software. Scale AI, the AI giant that provides training data to industry leaders like OpenAI, Google, Microsoft, and Meta, signed a deal with the Department of Defense in March for a first-of-its-kind AI agent program for U.S. military planning. And since then, it's expanded its business to world governments, recently inking a five-year deal with Qatar to provide automation tools for civil service, healthcare, transportation, and more.
Wall Street Journal
42 minutes ago
- Wall Street Journal
No, AI Robots Won't Take All Our Jobs
Anthropic CEO Dario Amodei said last week that artificial intelligence could eliminate half of all entry-level white-collar jobs within five years and cause unemployment to skyrocket to as high as 20%. He should know better—as should many other serious academics, who have been warning for years that AI will mean the end of employment as we know it. In 2013 Carl Benedikt Frey and Michael A. Osborne of Oxford University produced a research paper estimating that 47% of U.S. employment was at risk of being eliminated by new technologies.
