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A Fortune 50 health insurer partnered with Launch to automate provider data processing using AI-powered tools and Snowflake architecture—increasing accuracy, reducing manual labor, and building the foundation for an AI-first future.
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When you’re responsible for millions of members and thousands of providers, your data systems and processes must be top-notch.
Managing this data is complex—and costly when it goes wrong. Inaccurate or incomplete provider data can lead to:
Our client, a Fortune 50 health insurer, needed a solution for these provider data challenges to restore providers’ trust in their data and, ultimately, transform the provider experience. They needed an AI-enabled solution that could handle data ingestion, validation, enrichment, and anomaly detection at scale.
Launch helped a Fortune 50 health insurer reduce manual labor by 70% and unlock real-time provider data insights through Snowflake and AI innovation.
Launch’s Data & AI Studio developed a cloud-based provider data solution using Snowflake and our proprietary Launch Intelligent Text Extractor (LITE).
LITE and Snowflake helped accelerate data ingestion, enrichment, and matching by automatically linking and validating data within a data quality framework that’s driven by great fundamental AI tools:
LITE mines documents for specific information it’s learned to recognize, reading and transforming raw data into a structured format. That standardized format makes it possible to match and link records, validate information, score and rank confidence in each data point, and leverage ML to identify anomalies and autocorrect common errors.
We helped create a clear path toward a better human experience with technological tools that increase provider data quality and accuracy. This dramatically reduced the need for manual intervention by surfacing low-confidence records for attention and taking care of the rest automatically.
The LITE platform delivered measurable results from day one:
→ 70% Less Manual Intervention
Automated data extraction and curation reduced the time spent on manual benefits configuration.
→ Improved Data Quality & Accuracy
Low-confidence data surfaced for review while high-confidence data processed seamlessly.
→ Real-Time Analytics & Insight
Snowflake enabled cost-effective, real-time analytics, helping identify and resolve issues quickly.
→ Rapid Time to Value
The platform paid for itself within months while laying a scalable foundation for future AI use.
This provider data modernization effort was a critical step in the client’s larger digital transformation. With structured, trusted data and AI-powered automation, the organization is better equipped to reduce operational burden, improve relationships, and embrace emerging AI opportunities with confidence.
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