A decision-intelligence framework for identifying and reducing preventable customer harm using complaints data.

Lifecycle-based analytics of auto-renewal policies, analysing customer awareness, timing risk, escalation drivers, and preventable complaint patterns.

Analytical framework for structuring, classifying, and extracting actionable insights from customer complaints, with a focus on root causes, decision quality, and avoidable escalations.