The AI engine built specifically for insurance data

LilaGPT understands insurance data so insurers can automate the workflows generic AI models cannot.

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Accelerate every data workflow

LilaGPT accelerates preparation of insurance data for ingestion, migration, analytics, and reporting, helping teams move from raw inputs to usable data without relying on manual work.

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Improve data quality across systems

By understanding insurance structures and resolving inconsistencies, LilaGPT delivers cleaner outputs. So, insurers have data that reduces cleanup downstream rework.

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Reduce dependency on manual processes

LilaGPT automates high-effort tasks that normally require analysts and engineers. This frees internal teams, prevents bottlenecks, and creates more efficient workflows.

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The Problem

Insurance data complexity slows every workflow

Insurers work with fragmented data that spans decades of systems and formats. Each source structures information differently, creating inconsistencies that are hard to interpret and even harder to standardize.

However, manual review takes longer and generic AI tools cannot understand insurance-specific rules, which slows ingestion, migration, analytics, reporting, and modernization efforts.

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Data lives in disconnected systems

Policy, claims, billing, and partner data sit across multiple legacy and modern platforms. Teams cannot get a unified view because every system stores information differently, making interpretation slow and error-prone.

Stage 1

Data lives in disconnected systems

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Project Roadmap

Data lives in disconnected systems

Data structures vary across systems

Policy, claims, billing, and financial systems use different formats, rules, and attributes. These inconsistencies create mismatches and gaps that teams must constantly fix data before use.

Stage 2

Data structures vary across systems

Policy, claims, billing, and financial systems use different formats, rules, and attributes. These inconsistencies create mismatches and gaps that teams must constantly fix data before use.

Data structures vary across systems

Policy, claims, billing, and financial systems use different formats, rules, and attributes. These inconsistencies create mismatches and gaps that teams must constantly fix data before use.

Data is unclear without context

Even when data is accessible, teams must manually interpret fields, relationships, and rules. This slows ingestion, migration, analytics, and reporting because every step depends on understanding the data first.

Data is unclear without context

The Solution

AI that makes insurance data workflow-ready

LilaGPT understands insurance data and resolves inconsistencies at the source, giving insurers data ready for ingestion, migration, analytics, and reporting without manual interpretation.

Effortlessly connect with your favorite tools. Whether it's your CRM, email marketing platform.

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How does InsOps Help?

LilaGPT Helps Insurers Work with Data Faster

LilaGPT interprets insurance data, aligns inconsistent structures, and prepares information for ingestion, migration, analytics, and reporting. It adds intelligence at the source so teams avoid manual interpretation and cleanup.

Effortlessly connect with your favorite tools. Whether it's your CRM, email marketing platform.

Field and Terminology Understanding

LilaGPT interprets insurance-specific fields, codes, and terminology across policy, claims, billing, and financial datasets.

Field and Terminology Understanding

LilaGPT interprets insurance-specific fields, codes, and terminology across policy, claims, billing, and financial datasets.

Automatic Schema Mapping

LilaGPT identifies how source and target fields relate and generates initial mappings without manual configuration.

Automatic Schema Mapping

LilaGPT identifies how source and target fields relate and generates initial mappings without manual configuration.

Structure and Format Standardization

LilaGPT aligns formats, attributes, and data types across systems to create consistent structures for downstream workflows.

Structure and Format Standardization

LilaGPT aligns formats, attributes, and data types across systems to create consistent structures for downstream workflows.

Metadata and Schema Change Detection

LilaGPT compares versions of schemas, detects structural changes, and flags shifts that may affect ingestion or migration.

Metadata and Schema Change Detection

LilaGPT compares versions of schemas, detects structural changes, and flags shifts that may affect ingestion or migration.

Transformation Logic Creation

LilaGPT generates transformation rules, validation steps, and reconciliation logic that normally require engineering effort.

Transformation Logic Creation

LilaGPT generates transformation rules, validation steps, and reconciliation logic that normally require engineering effort.

Relationship and Dependency Identification

LilaGPT uncovers parent-child relationships, joins, and business dependencies within and across datasets to support accurate processing.

Relationship and Dependency Identification

LilaGPT uncovers parent-child relationships, joins, and business dependencies within and across datasets to support accurate processing.

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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What is LiLaGPT?

How is LiLaGPT different from generic LLMs?

Does LiLaGPT work with sensitive insurance data?

What workflows does LiLaGPT support?

Is LiLaGPT used on its own or within products?

What is LiLaGPT?

How is LiLaGPT different from generic LLMs?

Does LiLaGPT work with sensitive insurance data?

What workflows does LiLaGPT support?

Is LiLaGPT used on its own or within products?

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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