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An AI Employee collaboration in Polyosync may not work as expected if one or more requirements for the requested activity are not satisfied. Polyosync supports collaboration between AI Employees through Dynamic Collaboration and Collaboration Orchestration. These capabilities allow AI agents to exchange requests, contribute specialized knowledge, and work together on business activities. However, successful execution depends on the employees involved, their configuration, available capabilities, and the collaboration structure. What should I check first? Start by identifying which collaboration mechanism you are using. Dynamic Collaboration allows an AI Employee to request assistance from another AI Employee when additional expertise or information is needed. Collaboration Orchestration coordinates multiple AI Employees around defined tasks, dependencies, and a shared objective. The troubleshooting process depends on which mechanism is involved. Check the participating AI Employees. Make sure the employees required for the activity exist and have appropriate responsibilities and configurations. An AI Employee configured for customer support, for example, may not have the instructions or capabilities needed to complete a financial assessment. Check the available information. A collaboration may produce an incomplete result if the participating employee does not have sufficient context to perform the requested work. Review the employee's instructions, knowledge, and relevant business information. Check permissions and access. AI Employees operate within configured capabilities and applicable access restrictions. A collaboration request does not automatically grant permission to access restricted information or perform unauthorized actions. Check the execution history. Review the available collaboration records to identify execution statuses, errors, and task outcomes. For Collaboration Orchestration, inspect which task failed and whether other tasks depended on its result. What if the collaboration still fails? Record the collaboration type, the affected AI Employees, the approximate execution time, and any visible error message. Contact Polyosync Support with those details so the issue can be investigated. Do not include passwords, API keys, or other sensitive credentials in your support request. Why does correct configuration matter? Polyosync is designed to coordinate AI Employees around business responsibilities. Like human teams, AI Employees need clearly defined responsibilities, relevant information, and appropriate access to perform useful work. Correct configuration helps businesses get more value from AI agent collaboration and multi-agent business automation.