Cardinal Gray Accelerated Implementation Timelines and Time-to-Value by 13x with Lume AI

Cardinal Gray Accelerated Implementation Timelines and Time-to-Value by 13x with Lume AI

Cardinal Gray needed to create mappings from customers’ Loan Management Systems (LMS) to hundreds of internal and external data models representing standardized DMV titling schemas. The incoming data - whether CSV files, XML feeds, or database exports - had to be normalized and then transformed into standardized data models required for compliance titling documents. The complexity of mapping such diverse data sources to standardized schemas was a significant bottleneck. Cardinal Gray turned to Lume to build a scalable, automated mapping infrastructure that dramatically reduced time-to-market.

Cardinal Gray needed to create mappings from customers’ Loan Management Systems (LMS) to hundreds of internal and external data models representing standardized DMV titling schemas. The incoming data - whether CSV files, XML feeds, or database exports - had to be normalized and then transformed into standardized data models required for compliance titling documents. The complexity of mapping such diverse data sources to standardized schemas was a significant bottleneck. Cardinal Gray turned to Lume to build a scalable, automated mapping infrastructure that dramatically reduced time-to-market.

Headquarters

San Francisco, CA

Founded

2023

Industry

Financial Services, Lending Software

Stage

Seed

"With Lume, we cut down the time to create this massive mapping implementation from 6 months to 5 weeks. Instead of manually mapping every customer LMS export to our required destination schemas, Lume automates the process and builds a scalable scaffolding that adapts to new data and changing requirements. Lume has revolutionized our mapping process. Our engineering team now spends a fraction of the time on integrations, letting us onboard new lenders and map data to run our product - far more quickly than before."

"With Lume, we cut down the time to create this massive mapping implementation from 6 months to 5 weeks. Instead of manually mapping every customer LMS export to our required destination schemas, Lume automates the process and builds a scalable scaffolding that adapts to new data and changing requirements. Lume has revolutionized our mapping process. Our engineering team now spends a fraction of the time on integrations, letting us onboard new lenders and map data to run our product - far more quickly than before."

Muhammad Khattak

CTO, Cardinal Gray

13x

Acceleration of time-to-value

563

Mappings Implemented

76%

Decreased maintenance time

Challenge

Mapping lender data from customer databases (LMS) to Cardinal Gray’s selected standardized data models was a complex, error-prone process:


  • Diverse Input Formats: Data arrived via CSV, XML, or database exports from various customer Loan Management Systems, each with its own structure.

  • Complex Output Requirements: The common data models weren't a traditional database model, they represented compliance documents downstream, each following specific schemas with unique fields that needed precise mapping.

  • Manual Mapping Overload: Engineering teams were spending weeks creating and maintaining custom mappers for every new integration, leading to delays and inefficiencies.

  • Time-to-Market Pressure: The manual process led to larger implementation time for new customers, limiting the ability to onboard new lenders and adapt quickly to evolving compliance standards.

"We faced a unique challenge - mapping data from our customers’ Loan Management Systems to our hundreds of standardized data models for DMV compliance titling documents. It was a constant engineering headache. Every customer system came with its own quirks, and our custom mappers took days to build and weeks to maintain at scale."

Muhammad Khattak

CTO, Cardinal Gray

Solution

Cardinal Gray implemented Lume’s AI-powered mapping platform to automate and scale their customer data implementation process:


  • Automated Mapping Pipelines: Lume’s platform automatically harmonized input data from CSVs, XML, and database exports, transforming it into the standardized schemas needed for DMV titling.

  • Dynamic Pipeline Management: Lume built and managed thousands of mapping pipelines that continuously updated as either the LMS source data or the PDF schemas evolved.

  • Scalable Infrastructure: With Lume, manual intervention was minimized, enabling rapid onboarding of new lenders and supporting hundreds of DMV documents without a proportional increase in engineering work.

  • End-to-End Workflow: Once the data was mapped to the required PDF fields, Cardinal Gray extracted the mapped data and filled out their downstream PDFs.

"With Lume, we cut down the time to create this massive mapping implementation from 6 months to 5 weeks. Instead of manually mapping every customer LMS export to our required destination schemas, Lume automates the process and builds a scalable scaffolding that adapts to new data and changing requirements."

Muhammad Khattak

CTO, Cardinal Gray

Results

Lume’s mapping infrastructure delivered significant benefits for Cardinal Gray:


  • Faster Time-to-Market: What once was going to take 6 months took us 5 weeks with Lume, accelerating launches.

  • Scalable Integration: Automated pipelines now support Cardinal Gray’s hundreds of standardized data models, without additional manual effort.

  • Improved Engineering ROI: Engineering resources have been freed from repetitive manual mapping tasks, allowing them to focus on core product innovations.

  • Enhanced Reliability: Continuous monitoring and automated updates ensure that mappings remain accurate even as input data and output requirements evolve.

"Lume has revolutionized our mapping process. Our engineering team now spends a fraction of the time on integrations, letting us onboard new lenders and map data to run our product - far more quickly than before.”

Muhammad Khattak

CTO, Cardinal Gray

Conclusion

By leveraging Lume’s automated mapping platform, Cardinal Gray transformed a manual, error-prone process into an efficient, scalable solution. With the ability to seamlessly convert diverse database (LMS) exports into standardized data models for downstream usage, Cardinal Gray not only accelerated its time-to-market but also significantly improved its operational efficiency. This robust infrastructure has become a key competitive advantage, enabling Cardinal Gray to rapidly scale its service offerings and adapt to an ever-changing compliance landscape.

Last but not least, Cardinal Gray is seeing immense growth and success - check them out!

© 2023 Lume AI, Inc. All rights reserved.

© 2023 Lume AI, Inc. All rights reserved.

© 2023 Lume AI, Inc. All rights reserved.