Sunset legacy systems in <4 months with our AI platform
Sunset legacy systems in <4 months with our AI platform
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.
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.
Comprehensive Consultation
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.
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.
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.
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
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.
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.
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.
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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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?
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
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
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