What is the difference between business process execution history and AI Collaboration history?
Polyosync provides business process execution capabilities and AI Collaboration capabilities, each addressing a different aspect of AI-powered business operations.
Understanding this distinction helps businesses review the right information when investigating an activity.
What is business process execution history?
Business process execution history focuses on recorded runs of configured business processes.
It helps users review whether a process was executed, its recorded outcome, the results produced, and any relevant events or errors.
The primary focus is the execution of a structured business operation.
What is AI Collaboration history?
AI Collaboration history focuses on recorded collaboration activity involving AI Employees.
Depending on the collaboration mechanism, this may include information about participating AI Employees, delegated work, collaboration outcomes, and related execution details.
The primary focus is cooperation between AI Employees.
How are they related?
A business operation may require both structured process execution and cooperation between specialized AI Employees.
For example, a business process might involve preparing information, coordinating different responsibilities, and producing an operational result.
AI Collaboration capabilities can support cooperation between AI Employees where configured, while Business Processes provide a structured operational context.
Should I expect identical records in both areas?
No.
The two features serve different purposes, and the information recorded in each area may differ.
Do not assume that every business process automatically creates a corresponding AI Collaboration history entry.
Where should I investigate a problem?
Start with Business Processes if the issue concerns a process run, its execution status, or its results.
Review AI Collaboration history if the issue specifically concerns cooperation or delegation between AI Employees.
Polyosync provides multiple layers of operational visibility so businesses can investigate structured processes and AI collaboration activities according to their respective responsibilities.