Agentic Orchestration

Integrate agents directly into BPMN process models—agents complement, rather than replace, existing processes. Utilize deterministic flows for predictable outcomes, and delegate tasks to agents when AI-powered reasoning brings added value.

Agentic orchestration maintains confidence thresholds. When agents are uncertain, they can seek human input or prepare contextual insights for expert validation, ensuring trust, traceability, and compliance in mission-critical processes.

Model a central multi-agent in BPMN that plans, delegates, and synchronizes tasks across specialist agents.

Keep critical steps fully deterministic while allowing agents to reason and adapt where autonomy adds value.

Every agent decision is logged, auditable, and interruptible—so operations, security, and compliance teams can trust what’s running in production.

Agentic orchestration combines deterministic and dynamic process execution, offering the best of both approaches. Model the parts of your process that demand high predictability and control, while allowing AI agents to manage tasks that require creativity and proactive decision-making. This approach boosts automation in unpredictable processes, freeing up knowledge workers to focus on more strategic projects.

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

Coordinate several specialized AI-assisted tasks around one business request. Define the information and tools available to each task, the handoff contract and the point where a person must review or authorize the proposed action.

Define the business task, information sources and systems an AI-assisted workflow needs to use. Separate deterministic processing from steps that require interpretation or reasoning. Assign owners for exceptions and put consequential actions behind the appropriate human approval, with tool permissions limited to the agreed scope.

Test the workflow with incomplete information, conflicting records, unavailable tools and repeated requests. Evaluate both the quality of the recommendation and the correctness of the subsequent action. Keep execution evidence that allows an operator to understand what happened and recover without repeating an irreversible business operation.

Bring a representative process, example cases, system interfaces and acceptance criteria. Start with a bounded use case whose outcome can be reviewed by the business owner. The delivery plan should specify evaluation, access controls, integration dependencies, escalation and the operating team’s ability to pause or change the workflow.