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A Collaboration Orchestration run in Polyosync may fail when one of its assigned tasks cannot be completed successfully. Collaboration Orchestration coordinates multiple AI Employees around a business objective using participating employees, tasks, and dependencies. This structure helps businesses organize complex activities, but every task must still have the information and capabilities required for successful execution. How do I identify the problem? Open the relevant AI Collaboration area and review the available orchestration execution history. Find the unsuccessful run and inspect its recorded status. Review the task-level information to identify which activity failed. Check any available error details and task outputs. What are common causes? A participating AI Employee may lack the information required to complete its assigned task. Its instructions may not adequately describe the expected outcome. A required capability or external service may be unavailable. An execution error may interrupt the task. The orchestration may also depend on an earlier task that did not produce the required result. What happens to dependent tasks? Collaboration Orchestration uses task dependencies to determine when tasks can execute. A task that requires the output of another task cannot be treated as successfully completed when its prerequisite fails. This prevents the orchestration from presenting an incomplete dependency chain as a successful end-to-end execution. Can I review individual task outcomes? Yes. Supported orchestration execution records contain task-level statuses, available outputs, and error information. This helps distinguish the task that caused the failure from other activities within the same orchestration. Will Polyosync automatically recover every failed run? No. Businesses should not assume that every failed orchestration will be automatically retried or repaired. Recovery behavior depends on the relevant execution logic and available capabilities. How should I resolve the issue? Identify the failed task. Review the assigned AI Employee's instructions, knowledge, permissions, and required capabilities. Check whether the task depends on earlier results. If an external integration is involved, verify that the required service is available. After addressing the underlying problem, execute the collaboration again when appropriate. Why is this important? Polyosync supports multi-agent orchestration for business activities involving several AI Employees. Execution history and task-level outcomes help organizations investigate problems and improve how their AI Workforce is configured.