SDRefinery AI
AI-powered claims analytics that measures adjuster performance through unstructured documentation analysis
Overview
SDRefinery AI reads adjuster documentation and claim notes to create objective, measurable insights into claims operations. The platform analyzes unstructured text data to identify performance metrics, process bottlenecks, and individual adjuster strengths and gaps across over 150 metrics including time to quality contact, time to investigations, days to first damages payment, and liability determination.
The technology provides consistent measurement across all adjusters and time periods with full transparency into results. The solution offers metrics from high-level summaries to granular, individual-level detail, enabling claims leaders to take quick action on underperforming adjusters and process inefficiencies.
Key Features
- + Over 150 objective claims performance metrics (time to contact, investigations, liability determination, damages payment)
- + Unstructured claims notes and adjuster documentation analysis using AI
- + Individual adjuster performance measurement with strength and gap identification
- + Consistent measurement across adjusters and time periods with full transparency
- + Process bottleneck detection and operational insight from claim rep documentation
- + Configurable metrics tailored to specific carrier needs and workflows