Migrating 40 Years of Insurance Data in 6 months

Migrating 40 Years of Insurance Data in 6 months

Migrating 40 Years of Insurance Data in 6 months

InsOps allowed Golden Bear to fully retire AS/400, avoid costly parallel systems, and fully move into Guidewire Claim Center, and eventually Guidewire cloud.

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Woman Using Laptop
Woman Using Laptop

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.

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.


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.

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 replaced manual work and ETL pipeline with our suite of insurance-trained AI tools. We not only migrated data the data in 6 months but also ensured 99% data accuracy during the process.

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 pushed the data into Guidewire ClaimCenter. All sensitive information was also mapped by GenAnonymize, our data privacy and protection tool, before the final push to the Guidewire target system.

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 Claim Center, 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

We took stock of Golden Bear's data and started the ingestion process without using ETL pipelines

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

We took stock of Golden Bear's data and started the ingestion process without using ETL pipelines

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 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 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 Claim Center 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 Claim Center 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

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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

Join Us Now

Each Project, Our

Design is Great.

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