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 move forward with a unified data foundation that supports modernization, compliance, and future innovation.
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.
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Increased Cost and Risk
Golden Bear was running AS/400 alongside modern platforms, driving higher infrastructure costs and operational complexity.
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
Increased Cost and Risk
Golden Bear was running AS/400 alongside modern platforms, driving higher infrastructure costs and operational complexity.
Slowed Progress
Critical claims and policy data was spread across systems, requiring manual validation and reconciliation before reporting or audits.
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.
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.
AS/400 Could Not Be Retired Safely
Data inconsistencies made it difficult to confidently decommission AS/400 without risking business continuity.
AS/400 Could Not Be Retired Safely
Data inconsistencies made it difficult to confidently decommission AS/400 without risking business continuity.
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 Help Insurers Migrate Legacy Data Faster and With Higher Accuracy
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.
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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.
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.
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.
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.
Accurate Mapping and Validation
GenGrate mapped legacy claims and policy data to cloud schemas and validated results continuously, minimizing rework and late-stage reconciliation.
Accurate Mapping and Validation
GenGrate mapped legacy claims and policy data to cloud schemas and validated results continuously, minimizing rework and late-stage reconciliation.
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.
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.
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.
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 Services
Get High-Quality
Clear Services Remotely.
Discover our range of services designed to elevate your brand
and propel your business to next level.
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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.
$2500
/ Project
2 - 3
Weeks
Source-to-target data profiling
Identification of undocumented and inconsistent fields
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.
$4500
/ Project
8-10
Weeks
Automated schema mapping and transformation
Continuous validation and reconciliation
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.
$7500
/ Project
8-10
Weeks
Cloud-ready, standardized data loads
Near-zero operational disruption
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.
Effortlessly connect with your favorite tools. Whether it's your CRM, email marketing platform.
FAQ
Frequently
Asked Questions
Have questions? Our FAQ section has you covered with
quick answers to the most common inquiries.
Effortlessly connect with your favorite tools. Whether it's your CRM, email marketing platform.
What is an AI SLM?
How is an SLM different from a generic AI model?
What insurance workflows can the SLM support?
Is the InsOps platform compliant with insurance regulations?
Who is InsOps best suited for?
What is an AI SLM?
How is an SLM different from a generic AI model?
What insurance workflows can the SLM support?
Is the InsOps platform compliant with insurance regulations?
Who is InsOps best suited for?
What is an AI SLM?
How is an SLM different from a generic AI model?
What insurance workflows can the SLM support?
Is the InsOps platform compliant with insurance regulations?
Who is InsOps best suited for?
What is an AI SLM?
How is an SLM different from a generic AI model?
What insurance workflows can the SLM support?
Is the InsOps platform compliant with insurance regulations?
Who is InsOps best suited for?
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 SLM
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 SLM
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 SLM
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 SLM