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Agentic Orchestration: Automation’s Next Big Shift
Agentic orchestration takes end-to-end process orchestration further into the autonomous, AI-powered future.
What is Agentic Orchestration?

Learn how to model, deploy and manage AI agents within your end-to-end processes
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See how Camunda can help transform your organization

Tag: AI
Building Trustworthy AI Agents: How Camunda Aligns with Industry Best Practices
Build, deploy, and scale AI agents with an enterprise-ready framework that balances automation, control, speed, safety, complexity, and clarity.
By Nathan Loding
An Advanced Ad-Hoc Sub-Process Tutorial
Learn about the new ad-hoc sub-process capabilities and how you can take advantage of them to create dynamic process flows.
By Joe Pappas
Camunda Releases Agentic Orchestration for the Enterprise
Operationalize AI across people, systems, and devices with new AI agents and task automation capabilities.
By Heather Simpson
Camunda 8.7 Release is Here
We're excited to announce the 8.7 release of Camunda. Check out what's new, including AI, IDP, RPA, SAP Integration, Camunda Copilot and more.
By Joyce Johnson
How a Composable BOAT Solution Helps You Operationalize AI
Business orchestration and automation technologies (BOAT) keep your company flexible, scalable, and organized.
By Amy Johnston
Operationalizing AI: How to Achieve Unprecedented Efficiency in a Safe and Controlled Way
Operationalize AI through strategic process orchestration and achieve business goals, maintain compliance, and drive innovation.
By Nora Bezi
RSM Creates a Future-Proof Engagement Ecosystem with Camunda’s AI Orchestration
With AI orchestration, RSM improved process efficiency, enhanced business visibility, reduced administrative tasks, and updated legacy technology.
By Nik Hewitt
Prepare for Autonomous Automation with Agentic AI
Gartner analysts discuss agentic AI in "Gartner Predicts 2025: The Future of Automation is Autonomous."
By Amy Johnston
Essential Agentic Patterns for AI Agents in BPMN
Learn how orchestration and BPMN can solve some of the most common limitations and concerns around implementing AI Agents today.
By Niall Deehan
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