Liberate AI transforms claims processing

Liberate AI claims processing hurricane speed efficiency is transforming insurance operations. The company's AI agents have saved more than 100 million minutes for insurance agencies and carriers, handling over 3.5 million transactions monthly across more than 70 carriers and brokers.

One property and casualty insurer handled 14 times its usual claim volume during back-to-back hurricanes without adding staff. Claim handling times were 67% faster during the hurricane event. At an unnamed client, hurricane claim response time fell from 30 hours to 30 seconds.

Branch Insurance's digital transformation results

Branch Insurance reduced claim reporting time by 42% through Liberate's AI agents. The home and auto insurer cut reporting time from over 12 minutes to about 7 minutes. Branch's cAItlin persona handles 65% of claim reporting.

About 43% of Branch's claims now come through Liberate's AI agents and digital intake channels. Branch expects these digital claims to cost roughly 70% less to handle.

Industry-wide AI adoption and market impact

Adoption of artificial intelligence is accelerating across the insurance sector. In a state regulator survey, 88% of auto insurers and 70% of home insurers said they use, plan to use or plan to explore AI.

Liberate's platform supports insurance operations representing over $100 billion in premium volume. The company has processed 2.8 million automated transactions per month across voice, SMS, and email for more than 70 enterprise customers. Liberate achieved 70% autonomous completion for first notice of loss (FNOL) claims, exceeding its initial 45-55% target.

The company's customer base includes 2,500 carriers, 443,000 agencies and brokerages, and over 1,000 MGAs and MGUs in the U.S. P&C market.

Business case for AI in insurance operations

The financial imperative for automation is clear. A large insurer achieved a 263% return on investment using Liberate's agents, with sales up 15% and operating costs down 23%. McKinsey estimates generative AI's annual value potential in insurance at $50 to $70 billion.

Insurers spend over $250 billion annually on human middleware problems. The P&C industry is projected to lose approximately 400,000 workers to retirement over the next 15 years.

Liberate's architecture addresses these challenges with three layers: Nicole (insurance-native AI agent), Orchestration Layer, and Supervisor Layer. The Supervisor Layer monitors hundreds of insurance-specific risk signals in real time with warm transfers and full audit trails. The company's AI agent executes tasks within carriers' existing systems like Guidewire and Duck Creek without human intervention unless escalation is required.

Liberate expanded from a narrow voice-focused use case to multi-channel and multi-functional coverage. Allied Trust went live with Liberate in 6 weeks after being stuck with a prior vendor for two years. The company's hallucination rate is under 1%, with full logging and auditing of all actions. Amirish Singh described the goal as "to stop making people do the work that machines can finish faster."

Liberate maintains a 100% customer retention rate across all enterprise deployments.