Vortic

Automates the initial claims intake process by extracting structured claim information from unstructured customer communications (calls, emails, forms). Uses natural language understanding to identify claim type, policyholder details, incident description, and damage/loss details, then routes to appropriate claim handlers or systems via API integration. Reduces manual data entry and classification errors in the claims pipeline.

Evaluates incoming sales leads by analyzing customer profile, stated needs, and engagement signals to predict conversion likelihood and assign to appropriate sales agents. Uses scoring models to rank leads by priority and routes high-value prospects to senior agents while distributing volume leads to junior reps. Integrates with CRM systems to log interactions and update lead status automatically.

Provides conversational AI interface for customers to ask questions about insurance policies, coverage details, claims status, and billing. Uses retrieval-augmented generation (RAG) to ground responses in customer-specific policy documents and claims history, reducing hallucinations. Escalates complex or sensitive inquiries to human agents via handoff protocol, maintaining conversation context across channels.

Analyzes claim submissions against historical fraud patterns, policyholder behavior, and claim characteristics to identify suspicious claims requiring investigation. Uses anomaly detection and pattern matching to flag inconsistencies (e.g., claim amount vs. policy limits, timing relative to policy inception, geographic mismatches). Assigns risk scores to claims and recommends investigation priority without blocking legitimate claims.

Analyzes customer profile, risk profile, and stated needs to recommend appropriate insurance products and coverage levels. Uses collaborative filtering and content-based recommendation to suggest policies similar to those purchased by comparable customers or matching customer-stated requirements. Integrates with sales systems to present recommendations during quote process or policy renewal.

Monitors sales and claims agent interactions (calls, emails, chats) to evaluate performance against KPIs (call handling time, customer satisfaction, compliance with scripts/procedures). Uses speech analytics and NLP to identify coaching opportunities, flag compliance violations, and highlight best practices. Generates automated coaching recommendations and performance reports for managers.