The KYRA:Signal Results task now supports configurable autocompletion, allowing tasks to automatically complete when all returned results meet defined significance criteria. This enables greater automation and allows KYRA:Signal outputs to drive downstream journey logic via the Significance Engine data source.
Autocompletion is optional and controlled through Central Agent Configuration, ensuring tasks can remain manual where review is required.
KYRA:Signal introduces an AI-driven capability to evaluate the change in a field's value, and marking that change as either "Significant" or "Insignificant". Users can configure prompts to define what constitutes a significant change, which the AI will use when determining the significance of a field's change in value. The AI will provide transparency in why it made its decision, and this decision can also be overridden by a user where required. The outcome of "Significant" or "Insignificant" can then be leveraged within the Journey to drive further conditionality and logic. Please note that this functionality is not available on live production tenants.