Overview

A top-10 global insurance carrier with over $20B in gross written premium (GWP) and a portfolio spanning 25+ commercial insurance products partnered with FurtherAI to overhaul its Large Property unit’s operational backbone. This strategic unit services high-stakes accounts—typically policyholders with over $3B in revenue and over 500 locations each—representing mission-critical relationships with retail and wholesale brokers.

By integrating FurtherAI’s Complex SOV Intake AI Teammate, the carrier transformed its quote turnaround times and unlocked a 646% ROI through extreme efficiency gains, industry-leading accuracy, and enterprise-grade scalability.

The Challenge: Complex SOV Intake Bottlenecks

The underwriting of complex property portfolios hinges on the accurate and timely intake of Schedules of Values (SOVs)—multi-tab spreadsheets often containing 500 to 100,000 global locations, each with up to 60 data fields.  

To put this in perspective, a 500 location SOV often has up to 30,000 individual field level values (500 locations x ~60 fields per location).  And a 10,000 location large SOV could have 600,000 field level values. 

It’s not difficult to understand the challenge of accurate and efficient data extraction, validation, enrichment and entry against the backdrop of a fully human manual intake process.

Before AI integration, the carrier’s intake was manual – and it was slow and costly:

• 1–2 minutes of human time per location just for validating and correcting address data.
• 1–5 days per SOV were consumed in processing—causing delayed quotes, strained broker relationships, and lost opportunities.
• Quote turnarounds of 2–3 weeks were common, misaligned with broker expectations.
  
  

The carrier’s underwriting team faced added complexities due to:

• Varying SOV formats and messy submissions.
• Global property mixes (commercial, habitational, industrial, high-hazard).
  Requirements for precise formatting, geolocation, and schema alignment.
  
  

Manual intake was not sustainable given the business unit’s scale—nearly 5,000 in-force policies, $500M+ in GWP, and monthly SOV volumes exceeding 300–800 files.

The Solution: FurtherAI’s Complex SOV Intake AI Teammate

FurtherAI deployed a bespoke AI solution to automate the end-to-end SOV intake workflow:

AI Capabilities Delivered

• Extraction, Validation & Enrichment across 32 critical property fields—including addresses, geolocation, and occupancy type.
• Schema Alignment: Re-mapped broker-submitted data to the carrier’s proprietary underwriting system schema.
• Format Agnostic: Ingested SOVs in any structure or layout—even long, multi-tab, or disorganized files.
  
  

AI Efficiency & Accuracy

• <0.2 seconds per row AI runtime
• <5 seconds total per row including ASA cleanup
• >95% field-level accuracy at go-live, rising to 97% within 6 months
• <10 minutes end-to-end intake time even for 50K+ location SOVs
  
  

Enterprise Readiness

• Scaled to handle all new and renewal SOVs across the BU’s large property portfolio
• 24/7/365 support with expansion to 60+ secondary modifiers
• Fully integrated with carrier’s Morpheus system and submission workflows
  
  

Results: From Days to Minutes — and 646% ROI‍

Business Impact‍

Broker Satisfaction
Fast intake and quoting cycles restored broker confidence and strengthened distribution partner relationships.

Underwriting Efficiency
Freed underwriters from low-value data prep, allowing them to focus on risk selection and pricing.

Strategic Scalability
Unlocked full support for high-volume renewal and new business cycles across the carrier’s global portfolio.

Operational Transformation
AI-powered ingestion became the new standard, turning a historic bottleneck into a competitive advantage.

Bottom Line

FurtherAI’s Complex SOV Intake AI Teammate enabled the carrier to leapfrog traditional intake constraints—delivering best-in-class speed, scale, and accuracy for one of the world’s most intricate underwriting operations.

From 5-day waits to sub-10-minute processing and a 646% ROI, the result is not just automation—it’s an underwriting evolution.

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