Underwrite Faster with Complete, Reliable Risk Data

Our insurance-trained AI reads submissions, documents, and legacy systems together, so underwriters evaluate risk on complete information instead of chasing it down first.

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High Claim Volumes

We validate, enrich, and summarize submissions at intake, catching missing loss runs before they reach underwriters.

High Claim Volumes

We validate, enrich, and summarize submissions at intake, catching missing loss runs before they reach underwriters.

Manual Document Review

We extract, summarize, and validate data from police reports, estimates, medical records, and photos.

Manual Document Review

We extract, summarize, and validate data from police reports, estimates, medical records, and photos.

Slow Quote Turnaround

We automate data extraction, appetite checks, and pricing recommendations, so quotes go out faster.

Slow Quote Turnaround

We automate data extraction, appetite checks, and pricing recommendations, so quotes go out faster.

Risk Selection Consistency

We automate FNOL intake, document collection, and approvals, so claims move without manual handoffs.

Risk Selection Consistency

We automate FNOL intake, document collection, and approvals, so claims move without manual handoffs.

Climate & Catastrophe Risk

We flag high litigation-risk claims early, recommending proactive intervention before disputes escalate.

Climate & Catastrophe Risk

We flag high litigation-risk claims early, recommending proactive intervention before disputes escalate.

Data Silos

We consolidate policy, billing, claims, and documents into one system, closing gaps between legacy platforms.

Data Silos

We consolidate policy, billing, claims, and documents into one system, closing gaps between legacy platforms.

Pricing Accuracy

We refine pricing recommendations continuously using predictive analytics as inflation and exposures shift.

Pricing Accuracy

We refine pricing recommendations continuously using predictive analytics as inflation and exposures shift.

Growing Volumes

We automate intake and allocate adjusters during CAT events, so surges don't overwhelm response capacity.

Growing Volumes

We automate intake and allocate adjusters during CAT events, so surges don't overwhelm response capacity.

Regulatory Requirements

We build compliance checks, audit trails, and governance controls directly into the underwriting workflow.

Regulatory Requirements

We build compliance checks, audit trails, and governance controls directly into the underwriting workflow.

Knowledge Retention

We recommend reserve estimates and flag adjustments needed, using predictive models on historical data.

Knowledge Retention

We recommend reserve estimates and flag adjustments needed, using predictive models on historical data.

Portfolio Visibility

We generate claim notes, summaries, and correspondence drafts automatically, freeing adjusters to investigate.

Portfolio Visibility

We generate claim notes, summaries, and correspondence drafts automatically, freeing adjusters to investigate.

The Problem

Submission Overload Is Slowing Underwriting Decisions

Underwriting data arrives scattered across ACORD forms, emails, PDFs, loss histories, and legacy policy systems, each formatted differently. Reconciling it by hand delays quotes, and the delay compounds as submission volume grows faster than underwriting headcount.

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Submissions Aren't Underwriting-Ready

A single commercial submission can contain dozens of documents: applications, loss runs, inspections, and broker emails. Underwriters spend the first pass of every file just assembling a complete picture before real risk evaluation can begin.

Legacy Systems Fragment the Risk Picture

Policy, claims, and third-party data live in separate systems that don't share context. Underwriters switch between platforms to reconstruct a single risk profile, and that reconciliation work eats into time that should go to judgment, not lookup.

Historical Data Predicts Less Every Year

Climate-driven catastrophe frequency is outpacing what historical loss data can forecast. Underwriters pricing exposed risk are working from a rearview mirror that's increasingly disconnected from current conditions.

The Solution

Insurance-trained AI Built for Underwriting Decisions

We read submissions and legacy systems the way an underwriter would, applying insurance context to extract what matters, flag what's missing, and surface guidance from prior decisions, without requiring brokers to resubmit or underwriters to change how they work.

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Testimonial

What Our Insurance Partners Say

Hear how insurers accelerated data workflows, improved accuracy, and modernized operations with InsOps.

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The successful migration to the Guidewire ClaimCenter Cloud is a testament to our commitment to leveraging modern technology for enhanced operational efficiency and customer satisfaction. Golden Bear is proud of our collaboration with InsOps, whose expertise and strategic approach were instrumental in achieving this transformation.

Michael Hall

Vice President

Golden Bear Insurance Company

Join Us Now

Every Insurer We Work With

Moves Faster and Operates Smarter.

Join us and turn complex data challenges into streamlined, automated operations with the help of our Insurance-trained LLM

Book an Appointment

Join Us Now

Every Insurer We Work With

Moves Faster and Operates Smarter

Join us and turn complex data challenges into streamlined, automated operations with the help of our Insurance-trained LLM

Book an Appointment