A Unified Platform for Intelligent Process Orchestration and Seamless Execution

While both aim to improve efficiency, process orchestration and process automation are not the same:

Process Automation focuses on automating individual tasks or steps — like sending an email or generating a report — often within a single system.

Process Orchestration goes a step further by coordinating multiple automated tasks across different systems, teams, or departments, ensuring they work together in a defined sequence to complete an entire business process.

Process orchestration works by connecting and coordinating tasks, systems, people, and data across an end-to-end business workflow. It utilizes rules, logic, and automation to ensure that each step occurs in the correct order, with the appropriate inputs, and at the optimal time.

Here’s how it typically works:

Define the Workflow: Map out all the steps in a business process, including tasks performed by people, systems, or bots.

Set Rules & Triggers: Establish conditions for when each task should begin, complete, or transition to the next step.

Connect Systems: Integrate different tools and platforms (e.g., CRM, ERP, HR systems) to share data and actions.

Monitor & Optimize: Track progress, identify delays or errors, and continuously improve the flow.

While both aim to streamline complex workflows, process orchestration coordinates predefined tasks across systems and teams based on fixed logic. In contrast, agentic orchestration involves autonomous AI agents that collaborate, reason, and adapt dynamically to achieve a goal. How agentic orchestration enables dynamic, goal-driven collaboration among AI agents is by allowing them to coordinate decision-making and interact seamlessly, even in complex business environments.

Process orchestration follows structured rules and sequences, making it ideal for routine, repeatable tasks. Agentic orchestration, on the other hand, is more flexible and intelligent, enabling agents to make real-time decisions, communicate with one another, and adjust their behavior based on changing contexts.

With HCL UnO, organizations don’t have to choose between them. HCL UnO integrates AI agents within process orchestration, adding a layer of autonomous capability while preserving governance, observability, and control. It offers the best of both worlds—combining the predictability of structured workflows with the intelligence and adaptability of agentic AI.