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Polyosync includes AI collaboration capabilities that allow AI Employees to contribute to business activities involving more than one area of responsibility. Enterprise organizations may use collaboration to coordinate specialized AI Employees rather than requiring a single AI Employee to handle every aspect of a complex task. Collaboration configuration should reflect the business objective, the responsibilities of each participant, and the operational controls that apply. What is AI collaboration? AI collaboration allows AI Employees to contribute to a shared activity. For example, one AI Employee may require information or assistance from another AI Employee with a different area of expertise. The exact collaboration behavior depends on the configured mechanism. What is collaboration orchestration? Collaboration orchestration organizes coordinated work involving multiple AI Employees. An orchestration model can include: 1. A coordinator. 2. Participating AI Employees. 3. Defined tasks. 4. Dependencies between tasks. 5. Parallel execution where supported. 6. Shared outputs. 7. Consolidation of results. How should collaboration be configured? Step 1: Define the business objective. Identify the outcome the organization needs. Step 2: Determine whether multiple AI Employees are necessary. Use collaboration when responsibilities genuinely benefit from specialization. Step 3: Identify the participants. Select AI Employees with relevant responsibilities. Step 4: Define each participant's contribution. Clarify which tasks or information each AI Employee should provide. Step 5: Review dependencies. Determine whether one task depends on the completion of another. Step 6: Review available orchestration controls. Configure supported coordination settings according to the selected collaboration model. Step 7: Verify permissions. Ensure participants have appropriate authorization for their assigned activities. Step 8: Establish oversight requirements. Identify sensitive actions that require human involvement. Step 9: Test the collaboration. Run representative scenarios and review the results. Step 10: Examine execution history. Use the available collaboration records to investigate behavior and refine the configuration. Does collaboration remove individual AI Employee boundaries? No. Collaboration should operate within the applicable authorization and workspace controls. Can all tasks run in parallel? Not necessarily. Some tasks depend on earlier results. Parallel execution is appropriate only where the selected orchestration mechanism supports it and dependencies allow it. Should every Enterprise workflow use collaboration? No. Collaboration introduces coordination requirements and should be used when it provides a meaningful operational benefit. Recommended approach Use AI collaboration for tasks requiring multiple specialized responsibilities, and maintain clear execution boundaries and review procedures.