Claims Management

Augment claims handling and processing with a better understanding of your claims life cycle.

Our Claims Management analytics services help insurers optimize their claims workflows, assess claims severity and litigation propensity, and estimate losses by identifying trends and uncovering hidden insights in historical data.

How we help

Claims Performance Insights

Enable context-aware Q&A and insights by leveraging LLMs and embeddings to reduce time to insight and empower adjusters with ad hoc business queries.

FNOL Outlier Detection

Identify anomalies in FNOL submissions by comparing incident details with historical claim behavior to flag fraud, accelerate clean claims, and auto-summarize reports.

Claim Complexity Segmentation

Classify claims into severity buckets using regression and natural language processing to allocate expert resources up front and prioritize high-value claims.

Matching Claims to the Right Adjuster and Adjuster Knowledge Management

Route claims to the most suitable adjuster using graph-based assignment and decision trees to reduce rework and improve first-time-right resolution as well as leverage LLM-powered search and Q&A to provider adjusters with cross-organizational insights.

Litigation Propensity Prediction and Attorney Selection

Score claims based on the likelihood of attorney involvement to enable early negotiation and specialized adjuster routing, reducing legal costs and cycle times, as well as recommend the best-fit attorney for litigation based on case complexity, jurisdiction, and performance.

Settlement Optimization

Predict and prescribe optimal settlement strategies using medical, cost, and jurisdictional data to minimize indemnity leakage and litigation exposure.

Fraud Complexity Scoring

Generate fraud risk scores at FNOL using link analysis and machine learning scoring to flag recycled photos, geolocation mismatches, and other fraud indicators early.

Early Subrogation Detection

Detect subrogation opportunities at FNOL by analyzing liability, police, and third-party data to increase recovery rates and shorten timelines.

Together with our platform partners

TESTIMONIALS

Customer Communications
Insurance core systems|webinar speakers|Webinar Clip Deborah Zawisza Onboarding Clip|Tim Hays Webinar clip making the company grow|
AI Automation||AI model based on NLP predicts unique test cases vs duplicates|AI model uses data to learn and predict root cause of new defects|AI uses historical information to identify patterns and recommend sets of test cases|AI model uses data to learn and predict root cause of new defects|AI uses historical information to identify patterns and recommend sets of test cases|AI model uses data to learn and predict root cause of new defects|AI uses historical information to identify patterns and recommend sets of test cases|AI in Software Testing|Identifying Defect Root Cause|Identifying Duplicate Test Cases|Predicting Test Cases That Will Find A Bug

Insights to improve your UW process

Our solutions help clients create seamless customer experiences, leading to better CX

Accelerating product design

Our expert insurance technology teams have the expertise to implement the right migration process

Multi-state product expansion

React faster to customer requirements, and regulatory changes
INSIGHTS

Stay ahead with P&C-focused thought leadership