Can I monitor AI Employee activity across automations, workflows, collaborations, and business processes?
Yes. Polyosync includes an Action History interface that brings together recorded operations from multiple AI and business automation modules.
This is especially valuable for businesses using more than one AI Employee or combining AI agents with different types of automated processes.
What does Action History cover?
The interface supports five operational categories: AI Workforce, AI Collaboration, Autonomous Workflows, Business Processes, and Automations.
Instead of reviewing only conversational messages, businesses can inspect recorded activity associated with these modules.
What information can I see?
Action History displays available execution records with information such as the module, operation title, status, start time, outcome summary, and error details where applicable.
For supported records, you can also open an execution timeline.
The timeline provides a more detailed view of recorded events associated with the operation.
Can I search for a specific activity?
Yes.
Action History includes a search field for finding relevant operations.
Can I filter by module?
Yes.
You can view operations from all supported modules or select a specific category.
For example, a business may focus on AI Collaboration executions when reviewing cooperation between AI Employees.
Alternatively, it may select Business Processes to investigate a particular operational process.
Can I filter by status?
Yes.
The interface supports status filtering, including completed, running, waiting, failed, cancelled, and error.
This helps businesses focus on activities requiring attention.
Can I review previous execution timelines?
Where timeline data is available for a supported operation, Action History allows you to open its recorded event sequence.
This can help clarify what happened during an execution and where a problem occurred.
Are reports available?
Action History can provide access to related reports for supported operations that have report data.
Report availability depends on the operation and the relevant module.
Why is unified history valuable?
Businesses often use several systems to manage AI agents, workflows, and automation.
When operational information is fragmented, investigating a problem may require checking multiple disconnected tools.
Polyosync provides a shared operational history interface across its major AI and automation modules.
This helps business owners, managers, and authorized team members review AI-assisted activities with greater visibility and accountability.