Sunset legacy systems in <4 months with our AI platform

Our platform migrates decades of insurance data into modern systems quickly and accurately by using an insurance-trained SLM that interprets and standardizes legacy structures.

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Faster Migration Timelines

Our platform interprets and maps legacy data automatically, cutting migration timelines from years to months and reducing manual work.

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99% Data Acccuracy

The SLM cleans and standardizes legacy data during migration, correcting inconsistencies upfront. This gives modern systems reliable, ready-to-use data from day one.

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Lower Cost and Operational Disruption

The platform handles most mapping and cleansing, reducing the workload on internal teams. This lets insurers modernize without slowing projects or creating backlogs.

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The Problem

Legacy Systems Slow and Complicate Modernization

Legacy systems hold decades of inconsistent insurance data that is difficult to interpret or map. ETL tools, scripts, and manual work cannot reliably handle this complexity, leading to long timelines, rework, and operational disruption.

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Legacy Data Is Hard to Understand

Old policy, claims, and billing records use inconsistent or undocumented structures, making it difficult to map them into modern systems.

Stage 1

Legacy Data Is Hard to Understand

Old policy, claims, and billing records use inconsistent or undocumented structures, making it difficult to map them into modern systems.

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Project Roadmap

Legacy Data Is Hard to Understand

Old policy, claims, and billing records use inconsistent or undocumented structures, making it difficult to map them into modern systems.

Manual Mapping Extends Timelines

ETL tools require teams to build and refine mappings by hand, slowing migrations and creating repeated cycles of rework.

Stage 2

Manual Mapping Extends Timelines

ETL tools require teams to build and refine mappings by hand, slowing migrations and creating repeated cycles of rework.

Manual Mapping Extends Timelines

ETL tools require teams to build and refine mappings by hand, slowing migrations and creating repeated cycles of rework.

Running Two Systems Increases Cost

Long migration timelines force insurers to run legacy and modern systems in parallel, raising costs and introducing data inconsistencies.

Running Two Systems Increases Cost

Long migration timelines force insurers to run legacy and modern systems in parallel, raising costs and introducing data inconsistencies.

The Solution

AI-Powered Workflow Automation Designed Specifically for Insurance

Our insurance-trained SLM accurately interprets and standardizes legacy data, reducing manual work and eliminating ETL so insurers can migrate decades of data faster and cleaner.

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How does InsOps Help?

We Help Insurers Migrate Legacy Data Faster and With Higher Accuracy

Our platform reduces manual mapping, cleansing, and reconciliation by using an insurance-trained SLM that interprets and standardizes complex legacy data structures. This shortens migration timelines and delivers cleaner outputs with fewer cycles of rework.

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Faster Legacy Data Interpretation

The SLM identifies field meanings across old policy, claims, and billing systems, even when structures are inconsistent. This removes the manual work normally required in early migration stages.

Faster Legacy Data Interpretation

The SLM identifies field meanings across old policy, claims, and billing systems, even when structures are inconsistent. This removes the manual work normally required in early migration stages.

Precise Mapping

Our SLM maps legacy fields to target schemas accurately, reducing reliance on ETL scripts and limiting the rework caused by misaligned structures.

Precise Mapping

Our SLM maps legacy fields to target schemas accurately, reducing reliance on ETL scripts and limiting the rework caused by misaligned structures.

Standardized Data Outputs

The platform cleans and aligns formats across systems, minimizing reconciliation issues and ensuring data loads cleanly into modern platforms like Guidewire and cloud cores.

Standardized Data Outputs

The platform cleans and aligns formats across systems, minimizing reconciliation issues and ensuring data loads cleanly into modern platforms like Guidewire and cloud cores.

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

FAQ

Frequently

Asked Questions

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

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How does your Data Lake work?

What data sources can your Data Lake connect to?

Why is an SLM better than generic AI for your Data Lake?

Do we need to replace existing systems to use your Data Lake?

Can your Data Lake support analytics and AI initiatives?

Does your Data Lake reduce manual reconciliation work?

How does your Data Lake work?

What data sources can your Data Lake connect to?

Why is an SLM better than generic AI for your Data Lake?

Do we need to replace existing systems to use your Data Lake?

Can your Data Lake support analytics and AI initiatives?

Does your Data Lake reduce manual reconciliation work?

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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 SLM

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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

Book an Appointment