
Streamlining Claims Data Integration for a Major Insurance Provider
Key Results
- → 3.5X faster insurance partner onboarding
- → 70% less manual data work
- → 30% improvement in claims processing efficiency
- →Future-proofed data management infrastructure
A major U.S. insurance provider offering claims services across affiliate carriers, OEM partnerships, and insurtech clients was seeking to modernize its data operations. The rapid expansion of services introduced complex challenges around data ingestion, integration, and control, particularly in onboarding new clients and maintaining real-time claims synchronization across disparate systems.
The Challenge
The company faced various integration and data transformation challenges as it handled claims for non-traditional and third-party policies. These included:
- Integration Complexity Across Clients and Vendors: Each new client brought unique data formats and systems. Building point-to-point integrations, managing schema differences, and orchestrating end-to-end flows consumed significant engineering resources and slowed onboarding.
- Fragmented Policy Data: Many policies were stored in external systems. The team often needed to ingest only relevant fragments of policy data for claims processing, creating complexity in selective ingestion and modeling.
- Data Segregation Requirements: Serving multiple insurance affiliates under strict regulatory oversight, the provider had to maintain data and compute isolation between tenants.
- Scalability for Growth: As demand increased, so did the need to handle more onboarding requests, support more vendors, and transform more data with fewer technical bottlenecks.
- Lack of Common Data Model Implementation: Engineering teams struggled to transform incoming data to match internal canonical models, with existing tools requiring time-consuming custom development.
- Limited Access for Non-Engineers: Business teams needed to work directly with data pipelines but lacked tools that allowed them to operate without constant support from engineering.
The Solution
To address these challenges, the provider implemented the Nexla integration platform to create a scalable, low-friction foundation for onboarding and operating on claims data.
Key components of the solution included:
- Accelerated Onboarding with No-code Integration: Nexla enabled rapid onboarding of clients, vendors, and partners through its auto-generated connectors and schema detection. Business teams could set up and manage integrations via a no-code UI, dramatically reducing onboarding times from months to days.
- Automated Data Transformation and Canonical Mapping: Nexla’s visual tools allowed teams to define and apply reusable mapping logic to incoming data. This made it easy to transform vendor-specific formats into standardized internal models—without writing code.
- Policy Data Ingestion and Search: Nexla supported selective ingestion of policy fragments from partner systems. The platform enabled search and enrichment workflows on top of this data, allowing adjusters to work with just the information they needed.
- GenAI-enhanced Document Intelligence: Using Nexla’s retrieval-augmented generation (RAG) workflows, policy documents were transformed into searchable, structured data. Claims teams could ask natural language questions and receive accurate, cited answers—reducing time spent navigating complex documents.
- Enterprise-grade Data Isolation and Monitoring: Nexla’s multi-tenant architecture ensured strict separation of data across clients. Fine-grained metrics enabled the provider to track usage by client and integrate that metadata with internal systems for auditing and billing.
- Hybrid Collaboration Model: Technical users could leverage APIs and SDKs for full flexibility, while business teams benefited from intuitive interfaces that allowed them to manage and monitor pipelines without needing engineering cycles.
The Impact
With Nexla, the insurance provider transformed how it handles data onboarding and integration for claims processing:
- 3x Faster Partner Onboarding: New client integrations went from months of engineering effort to just days, enabling faster go-lives and improved customer satisfaction.
- 70% Reduction in Manual Data Work: Automated mapping, transformation, and ingestion replaced time-consuming custom pipelines, freeing up engineering resources.
- 30% Claims Efficiency Improvement: Real-time data flows gave adjusters immediate access to the right policy and claims data, improving SLA compliance and decision-making.
- Future-proofed Infrastructure: With structured pipelines, reusable data products, and GenAI capabilities, the team laid the foundation for intelligent, scalable claims operations.
- Secure, Auditable Growth: The provider met its compliance and control requirements while accelerating its ability to serve new lines of business and clients.
Summary
As customer expectations rise and data ecosystems grow more complex, this major insurance provider demonstrated how the right data integration platform can deliver both speed and control. With Nexla, the team successfully unlocked the ability to scale partnerships, simplify onboarding, and future-proof their claims operations—proving that even in a highly regulated industry, agility and innovation can go hand in hand.
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