Migrating 40 Years of Insurance Data in 6 months

InsOps allowed Golden Bear to fully retire AS/400, avoid costly parallel systems, and move forward with a unified data foundation that supports modernization, compliance, and future innovation.

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6-Month Modernization Timeline

40+ years of legacy insurance data was migrated and validated in six months, allowing Golden Bear to retire AS/400 without running parallel systems.

99% Data Accuracy at Cutover

Data was continuously validated during the transition, delivering clean, audit-ready claims and policy data from day one on the cloud platform.

$1M+ in Cost Savings

By eliminating dual systems, manual reconciliation, and extended support overhead, Golden Bear reduced operating costs by over $1 million.

About the Company

About Golden Bear Insurance Company

Golden Bear Insurance is a specialty property and casualty insurer serving niche markets across the United States. Known for its disciplined underwriting and long operating history, the company manages decades of policy and claims data across core insurance systems.

As Golden Bear continued to modernize its technology stack, it sought a way to reduce legacy system risk, improve data reliability, and support future innovation without disrupting ongoing operations.

Golden Bear Insurance is a specialty property and casualty insurer serving niche markets across the United States.

Known for its disciplined underwriting and long operating history, the company manages decades of policy and claims data across core insurance systems.

Golden Bear Insurance is a specialty property and casualty insurer serving niche markets across the United States.

Known for its disciplined underwriting and long operating history, the company manages decades of policy and claims data across core insurance systems.

The Problem

Running Legacy and Modern Systems Increased Cost and Risk

Golden Bear Insurance operated its legacy AS/400 system alongside modern platforms, creating parallel environments that increased cost, complexity, and operational risk.

Claims and policy data spread across both systems required ongoing manual reconciliation, which slowed modernization efforts and made it difficult to retire the legacy platform with confidence.

Golden Bear needed a way to eliminate parallel operations, reduce risk, and modernize without disrupting active insurance workflows.

Golden Bear Insurance operated its legacy AS/400 system alongside modern platforms, creating parallel environments that increased cost, complexity, and operational risk.

Claims and policy data spread across both systems required ongoing manual reconciliation, which slowed modernization efforts and made it difficult to retire the legacy platform with confidence.

Golden Bear needed a way to eliminate parallel operations, reduce risk, and modernize without disrupting active insurance workflows.

Increased Cost and Risk

Golden Bear was running AS/400 alongside modern platforms, driving higher infrastructure costs and operational complexity.

Stage 1

Increased Cost and Risk

Golden Bear was running AS/400 alongside modern platforms, driving higher infrastructure costs and operational complexity.

Comprehensive Consultation

Project Roadmap

Slowed Progress

Critical claims and policy data was spread across systems, requiring manual validation and reconciliation before reporting or audits.

Stage 2

Slowed Progress

Critical claims and policy data was spread across systems, requiring manual validation and reconciliation before reporting or audits.

AS/400 Could Not Be Retired Safely

Data inconsistencies made it difficult to confidently decommission AS/400 without risking business continuity.

How did InsOps Help?

We Helped Golden Bear Migrate Legacy Data Faster

InsOps combined GenCruise and GenGrate, our AI platforms for data ingestion and data migration respectively to replace manual, ETL-heavy processes with a controlled, insurance-specific data workflow.

GenCruise ingested and interpreted decades of AS/400 and Guidewire data, creating early visibility into legacy structures and reducing rework.

GenGrate then mapped, transformed, and validated the data for Guidewire Cloud, enabling Golden Bear to retire AS/400 and eliminate parallel systems without disrupting operations.

GenCruise ingested and interpreted decades of AS/400 and Guidewire data, creating early visibility into legacy structures and reducing rework.

GenGrate then mapped, transformed, and validated the data for Guidewire Cloud, enabling Golden Bear to retire AS/400 and eliminate parallel systems without disrupting operations.

Faster Legacy Data Interpretation

GenCruise profiled and interpreted decades of AS/400 and Guidewire data, including inconsistent and undocumented structures, reducing manual analysis early in the process.

Accurate Mapping and Validation

GenGrate mapped legacy claims and policy data to cloud schemas and validated results continuously, minimizing rework and late-stage reconciliation.

Standardized, Cloud-Ready Outputs

Together, GenCruise and GenGrate delivered clean, standardized data that loaded reliably into Guidewire Cloud, enabling AS/400 retirement and eliminating parallel systems.

Our Process

From Legacy to Cloud in 6 Months

InsOps delivered the modernization in clearly defined stages, allowing Golden Bear to retire its legacy system without disrupting live insurance operations.

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Stage 1

Legacy Data Assessment & Ingestion

By streamlining the process and focusing on key milestones, we ensure your website is ready to go live quickly, without sacrificing quality.

2 - 3

Weeks

Source-to-target data profiling

Identification of undocumented and inconsistent fields

Early visibility into data readiness and risk

Stage 1

Legacy Data Assessment & Ingestion

By streamlining the process and focusing on key milestones, we ensure your website is ready to go live quickly, without sacrificing quality.

2 - 3

Weeks

Source-to-target data profiling

Identification of undocumented and inconsistent fields

Early visibility into data readiness and risk

Stage 2

Mapping, Transformation, and Validation

Using insurance-specific logic, InsOps mapped legacy data to Guidewire Cloud schemas and validated outputs continuously to prevent late-stage issues.

8-10

Weeks

Automated schema mapping and transformation

Continuous validation and reconciliation

Early detection of discrepancies to reduce rework

Stage 2

Mapping, Transformation, and Validation

Using insurance-specific logic, InsOps mapped legacy data to Guidewire Cloud schemas and validated outputs continuously to prevent late-stage issues.

8-10

Weeks

Automated schema mapping and transformation

Continuous validation and reconciliation

Early detection of discrepancies to reduce rework

Stage 3

Cloud Migration & Legacy System Retirement

With clean, validated data in place, InsOps migrated Guidewire data to the cloud and safely retired the AS/400 system without running parallel operations.

8-10

Weeks

Cloud-ready, standardized data loads

Near-zero operational disruption

Full decommissioning of the legacy system

Stage 3

Cloud Migration & Legacy System Retirement

With clean, validated data in place, InsOps migrated Guidewire data to the cloud and safely retired the AS/400 system without running parallel operations.

8-10

Weeks

Cloud-ready, standardized data loads

Near-zero operational disruption

Full decommissioning of the legacy system

Testimonial

Golden Bear’s Experience with InsOps

A first-hand perspective on modernizing insurance data without disrupting operations.

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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

FAQ

Frequently

Asked Questions

Have questions? Our FAQ section has you covered with
quick answers to the most common inquiries.

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What is an AI LLM?

How is an LLM different from a generic AI model?

What insurance workflows can the LLM support?

Is the InsOps platform compliant with insurance regulations?

Who is InsOps best suited for?

What is an AI LLM?

How is an LLM different from a generic AI model?

What insurance workflows can the LLM support?

Is the InsOps platform compliant with insurance regulations?

Who is InsOps best suited for?

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Design is Great.

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

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