How can we help?

If an AI Collaboration repeatedly fails in Polyosync, investigate the recorded execution information before attempting further runs. Repeated failures may indicate that the collaboration configuration, assigned responsibilities, available information, permissions, or external dependencies need attention. How should I investigate recurring failures? Start by identifying whether the failures occur in Dynamic Collaboration or Collaboration Orchestration. Review the available execution history and compare the unsuccessful activities. Look for recurring patterns. For example, determine whether failures repeatedly involve the same AI Employee, delegated request, orchestration task, or external service. What if the same AI Employee keeps failing? Review the employee's responsibilities, instructions, knowledge, and available capabilities. Check whether the requested activity matches what the employee is configured to perform. An AI Employee assigned to a specialized business responsibility may need additional context to handle an unfamiliar task. What if the same orchestration task keeps failing? Review its assigned AI Employee and instructions. Check whether the task depends on earlier outputs and whether those outputs contain the information required. If the task interacts with an external system, investigate whether that system is available and correctly configured. Should I keep restarting the collaboration? Not without understanding the problem. Repeatedly starting a failed activity may not resolve an underlying configuration issue. For activities involving external actions, duplicate execution attempts may also require additional care. Does Polyosync automatically diagnose every recurring problem? No. Collaboration history provides execution information that can support investigation. Businesses should not assume that the platform automatically identifies every root cause or repairs every configuration issue. When should I contact Polyosync Support? Contact Support when failures continue after reviewing the available execution information and relevant configurations. Provide the collaboration type, affected AI Employees, approximate execution times, relevant run information, and visible errors. Avoid sharing passwords, API keys, or unnecessary confidential information. How can businesses prevent similar problems? Define clear responsibilities for each AI Employee. Provide relevant knowledge and appropriate permissions. Use structured task dependencies where necessary. Review recorded outcomes and improve configurations when recurring problems appear. What is the long-term benefit? Polyosync enables businesses to use AI agents as part of coordinated business operations. Troubleshooting and execution visibility help organizations maintain a more manageable AI Workforce as they expand from individual AI assistants to multi-agent collaboration and business process automation.