Risk Category Classification uses AI to assign newly identified risk events and issues to the enterprise risk taxonomy, enabling consistent risk register population, by analysing event narrative and attributes against defined category definitions, across risk management intake workflows.
Risk teams receive risk submissions from across the organisation with inconsistent categorisation, requiring manual reclassification that delays risk register updates and distorts risk portfolio reporting.
A classification model assigns each submitted risk or issue to the appropriate risk category and sub-category in the enterprise risk taxonomy, flags ambiguous cases for human review, and produces a routing recommendation for risk owner assignment.
Reduction in manual reclassification rate for submitted risks and improvement in risk register population timeliness.
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