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Task dependencies define the relationships between activities in a Polyosync Collaboration Orchestration. They determine which tasks require the completion or results of other tasks before they can proceed. This is particularly important when multiple AI Employees contribute to a shared business objective. Why are dependencies necessary? Not every business activity can happen in an arbitrary order. For example, a company may want an AI-supported assessment of a potential project. An Operations AI Employee assesses the resources required. A Finance AI Employee evaluates the financial implications. A final recommendation needs information from both assessments. The recommendation task therefore depends on the earlier activities. How does Polyosync support this? Collaboration Orchestration allows a business to configure tasks and their dependencies within a coordinated execution. The orchestration uses these relationships to organize when dependent tasks can proceed. Can independent tasks run in parallel? Yes. The orchestration model supports parallel execution when tasks do not depend on one another. For example, operational and financial assessments may be independent and can be organized to run concurrently. A later task can depend on both results. Does every orchestration require complex dependencies? No. A simple collaboration may involve only a few tasks. More complex activities may involve several stages and multiple participating AI Employees. The structure should reflect the business objective rather than introduce unnecessary complexity. What happens when a required result is unavailable? A missing or unsuccessful prerequisite can prevent dependent work from proceeding as intended. The precise outcome depends on the execution conditions and applicable orchestration logic. Recorded execution statuses and errors can help identify problems. Why is this better than manually coordinating AI assistants? With independent AI assistants, a person may need to determine the correct execution order, transfer outputs, and decide when subsequent tasks can begin. Polyosync Collaboration Orchestration provides a structured multi-agent execution model with explicit task relationships. This makes it relevant to businesses evaluating AI agent orchestration, multi-agent workflow automation, and AI-driven business process coordination.