Real-world results from leading insurance providers
A commercial lines insurer struggled with lengthy underwriting cycles that were costing them business. Their underwriters spent most of their time gathering data from applications, loss runs, financial statements, and third-party sources—leaving little time for actual risk assessment and relationship building with brokers.
Orion AI deployed an intelligent underwriting assistant that automatically extracts data from applications, loss runs, financial statements, and industry reports. The system aggregates information into a standardized risk profile, identifies coverage gaps and concerns, and provides pricing recommendations with full explainability. Underwriters now focus on risk assessment and broker relationships rather than data entry. Straight-through processing handles 30% of standard submissions automatically.
A major P&C insurer faced mounting pressure to improve claims handling speed and customer satisfaction. Their adjusters were overwhelmed with volume, spending hours on routine data entry and document review for simple claims while complex cases sat in queue. Customer complaints about slow settlements were damaging retention rates.
Orion AI implemented an end-to-end claims automation platform that processes first notice of loss, extracts information from claim documents and photos, validates coverage, and calculates settlement amounts for straightforward claims. The system automatically routes complex claims to specialized adjusters with all relevant information pre-organized. AI-assisted damage assessment using photos provides repair estimates within minutes. Human adjusters now focus on complex cases and customer relationships.
A multi-line insurance group estimated they were losing $50M+ annually to fraud but catching only a fraction with their rule-based detection system. Organized fraud rings had learned to avoid triggering existing rules, and investigators were overwhelmed with false positives that consumed resources without finding actual fraud.
Orion AI deployed a multi-layered fraud detection system that combines machine learning on historical claims data with network analysis to identify organized fraud rings. The system scores every claim and application in real-time, adapting to new fraud patterns as they emerge. Graph analysis detects hidden relationships between seemingly unrelated claims—shared addresses, phone numbers, providers, and representatives. Investigators receive prioritized case referrals with detailed evidence summaries, dramatically improving their effectiveness.
A personal lines insurer serving millions of policyholders struggled to maintain service levels during volume spikes—especially after weather events when call volumes could triple overnight. Customers faced long hold times for simple questions about coverage, payments, and claims status, driving up churn rates among otherwise profitable policyholders.
Orion AI deployed an intelligent customer service platform handling inquiries across web chat, mobile app, and phone channels. The system provides instant answers to policy coverage questions, payment inquiries, and claims status—integrating directly with policy administration and claims systems for accurate, real-time information. For claims, the AI handles first notice of loss intake, collecting all required information before routing to adjusters. Seamless escalation to human agents includes full context, reducing handling time even for complex issues. During catastrophic events, the system scales automatically to handle volume spikes without degradation.