Agentic Orchestration:
Model, deploy & manage AI agents seamlessly into your end-to-end processes with Camunda
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If you are tired of hearing about what AI can do and want to see it in action, this 15-minute overview is precisely what you are looking for.
Empower AI agents to drive business processes at scale
AI agents are powerful, but without orchestration, they lack the coordination, accountability, and reliability needed for real-world, business-critical processes. Camunda’s agentic orchestration coordinates AI agents, ensures their work is transparent, and provides the reliability your customers are looking for. With Camunda, you can ensure AI-driven processes are efficient, compliant, and aligned with your business goals.
Why AI needs orchestration
AI agents can make decisions, generate content, and automate tasks—but they struggle with:
Context switching
Keeping track of multi-step workflows
Governance and compliance
Ensuring traceability and oversight
Collaboration
Working with human decision-makers and with other technologies
Scalability
Managing interactions between agents without bottlenecks
Maximize the ROI of your AI investments with agentic orchestration that provides true business impact.
How agentic orchestration works
Architect End-to-End Agentic Processes
Embed agents directly within BPMN process models—agents don’t replace processes, they enhance them. Use deterministic flows for predictable behavior, and delegate to agents when AI-driven reasoning adds value.
Build with State-of-the-Art Agent Frameworks
Camunda integrates seamlessly with agentic AI frameworks such as LangChain, giving developers access to agent concepts such as memory, LLMs, tools, and retrieval. Compose end-to-end, long running processes that orchestrate LLMs, external APIs, and humans with full lifecycle control.
Blend Code and Modeling via Multi-Layer Architecture
Design processes visually with BPMN and extend them programmatically using Camunda’s SDKs and custom logic. Embed agents as BPMN tasks, but with full extensibility to configure tool usage and control execution logic—all in a single orchestration layer.
Govern Intelligent Decisions with Human Oversight
Agentic orchestration respects confidence boundaries. Agents can request human input when uncertain, or prepare contextual insights for expert validation. This ensures trust, traceability, and compliance in mission-critical flows.
How multi-agent orchestration works
Multi-agent orchestration with Camunda lets you design a central orchestrator to unify any AI agent in your organization. AI Agents from any provider, including Microsoft Copilot, LangChain, Salesforce, CrewAI, n8n, or agents you build yourself in Camunda, are now orchestrated by an intelligent agent within a reusable, governed process.
Design a Central Orchestrator
Model a central multi-agent in BPMN that plans, delegates, and synchronizes tasks across specialist agents.
Blend Deterministic & Dynamic Logic
Keep critical steps fully deterministic while allowing agents to reason and adapt where autonomy adds value.
Protocol-Ready Connectors (MCP & A2A)
The power of the most advanced orchestration engine (Zeebe) with MCP (Model-Context-Protocol) and A2A (Agent-to-Agent) connectors allows you to take advantage of advanced patterns and infinite possibilities. Because Camunda correlates every message and event to a long-running process instance, these new protocol connectors unlock the most advanced agent-to-agent patterns while keeping the entire exchange transparent and auditable.
Enterprise-Grade Transparency
Every agent decision is logged, auditable, and interruptible—so operations, security, and compliance teams can trust what’s running in production.
Rapid Path to Production
Move from whiteboard to enterprise rollout with Camunda’s cloud-native engine and visual dashboards for live optimization.
Agentic Orchestration Solutions built by Camunda Partners
Compliance Monitoring Agent
Compliance Monitoring Agent ensures consistent oversight and improved audit readiness for events in highly regulated industries by automating risk detection and safeguards without human intervention.
Agentic Trade Exception Management
Agentic Trade Exception Management reduces operational complexity and regulatory compliance risk by streamlining and automating trade exception handling, remediating pre and post trade errors and managing exceptions faster.
Agentic Financial Crime Compliance Transaction Monitoring
Agentic Financial Crime Compliance (FCC) Transaction Monitoring Solution empowers financial institutions to modernize their transaction monitoring systems with Agentic AI/ML models, seamless workflow automation, and real-time risk detection.
AI Customer Service Agent
AI Customer Service Agent automates the routing and resolution of email inbound requests, allowing organizations to grow support capacity without additional headcount, while improving customer NPS and employee experience by reducing resolution and response times.
Agentic AI Assisted Quality Audit Process
AI-powered call analysis reduces audit time from 138 to 8 minutes, cutting costs, improving agent performance, and transforming customer experience for call centers.
Why Camunda for Agentic Orchestration?
- Unified Agentic Orchestration: Orchestrate both structured tasks and agentic logic within one BPMN model.
- Process-Level Determinism with Agentic Flexibility: Control process flow deterministically and layer in dynamic agent behaviors only where needed.
- Observability and Governance: Unlike many frameworks, every process step—including AI reasoning—is observable, interruptible, and auditable.
- Access to Real SDKs: Use actual AI agent toolkits like LangChain—not simplified UI wizards—ensuring you stay at the cutting edge of what’s possible.
Process orchestration gives you the flexibility that agents require
Agentic orchestration blends deterministic and dynamic process execution to give you the best of both worlds. Model out the parts of your process that require high levels of predictability and control, and let AI agents handle work that involves creativity and proactive decision-making. Increase the level of automation in hard-to-predict processes and free up knowledge workers to focus on other projects.
Agentic orchestration BPMN model example with Deterministic Guardrails
Key features
- Adaptive AI agent coordination – Ensure AI agents work effectively within a process structure
- Human-in-the-loop governance – Maintain compliance and ensure AI actions can be audited
- Scalable execution – Run hundreds or thousands of AI-driven processes in parallel
- Enterprise-ready integrations – Orchestrate any system via APIs, RPA bots, and data pipelines
- Real-time monitoring and insights – Get complete visibility into AI decision-making
Use cases
- Automated customer support – AI agents handle inquiries and escalate to knowledge workers when needed
- Governance, auditing, and compliance – AI agents review transactions while human auditors oversee exceptions
- Supply chain optimization – AI-driven demand forecasting with human approvals
- IT and security operations – Automated ticket resolution and proactive security alerts
Why Camunda?
Enterprise-grade orchestration
Proven process orchestration and automation trusted by global organizations
AI-first approach
Designed for the next generation of intelligent automation with scalability and resilience
Open and extensible
Works with any AI model, tool, service, or data source
Get started with agentic orchestration
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