A When Rule evaluates conditions before executing a Data Transform to ensure logic applies only in relevant scenarios. This avoids unnecessary data manipulation, improving efficiency. It is useful in cases like applying tax rates based on region or setting default values based on case type. When Rules enhance flexibility in automation.

Rule Resolution determines which rule version is executed based on class hierarchy, availability, and user context. This ensures consistent application behavior. SLA processing, work queues, and case routing do not influence rule execution order.

A Declare Expression ensures that a field's value automatically updates when a related field changes.
This eliminates the need for manual recalculations, ensuring data consistency. It is commonly used for tax calculations, total cost updates, and status changes. This improves automation in UI interactions.

A One-to-Many relationship allows a single data object (e.g., customer) to be linked to multiple cases (e.g., orders). This structure ensures that shared data can be referenced across multiple processes. It improves data reuse and reduces redundancy. Proper relationships improve case management efficiency.

Bulk Transfer allows managers to reassign multiple tasks at once, ensuring even workload distribution.
This is useful in cases of unexpected absences or workload imbalances. It helps maintain efficiency in high-volume processing environments. This feature is commonly used in customer service and IT support teams.