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Polyosync Autonomous Workflows can coordinate work across multiple AI Employees within an active AI Workforce. Rather than requiring one AI Employee to handle every aspect of an objective, the orchestrator can assign suitable tasks to different AI Employees. How does task delegation work? The orchestrator evaluates the objective and generates tasks with defined instructions. Each task identifies the AI Employee responsible for execution. Tasks can also include dependencies, allowing the workflow to represent relationships between activities. What types of task relationships are supported? The orchestration model recognizes prerequisite, blocking, parallel, sequential, and conditional dependencies. These relationships help determine how work should be coordinated. For example, one task may require information produced by another before it can proceed. Other tasks may be eligible to progress independently. Can Autonomous Workflows use existing automations? Yes. The orchestration engine supports tasks executed through AI Employee delegation or an existing automation. This allows structured automation capabilities to participate in broader autonomous execution. How are results handled? Execution results are recorded and made available to the orchestration process. The coordinator can evaluate completed work and determine whether additional tasks are needed. Why does this matter for businesses? Many business objectives involve different responsibilities. A sales-related objective may require information analysis, operational assessment, and recommendations. An AI Workforce can distribute suitable work across specialized AI Employees rather than treating the entire objective as one undifferentiated task. This is a key part of Polyosync's approach to AI Workforce orchestration.