Product & Underwriting

Drive improved performance across products, distribution, and marketing with clear insights.

ValueMomentum empowers insurers to accelerate underwriting and optimize product portfolios, boosting growth, improving profitability, and reducing risk.

How we help

Product Performance Insights

Analyze claims, premiums, and submissions data to identify high- and low-performing products, enabling strategy redesign and targeted improvements.

Risk Segmentation

Group policies into tiers using clustering and ensemble models, improving pricing accuracy and loss ratio performance.

Risk Scoring

Build consistent, quantitative risk measures from claims, exposure, and geospatial data to improve underwriting efficiency and competitive differentiation.

Underwriting Knowledge Management

Provide underwriters with contextual product and risk insights via AI-powered document similarity and retrieval augmentation to improve decision-making and reduce training time.

Reduce Underwriting Leakage

Apply anomaly detection and natural language processing to catch underpriced risks and missed exclusions, boosting loss ratio and operational consistency.

Submission Triaging

Leverage natural language processing and scoring models on broker submissions and claims history to auto-prioritize clean, in-appetite risks and reduce underwriting cycle times.

Improve Underwriter Efficiency

Use turnaround times analytics and AI-driven insights to cut underwriting cycle time, reduce costs, and improve SLA adherence.

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