A modern foundation for enrollment

Softrams member experience / Frontline ecosystem

The problem

What needed to change.

Enrollment for direct-contracting models needed a modern foundation. Complex transformation programming created a processing burden, while each new model required an effective onboarding path.

Transformation processing time
Before100 · baseline
AfterLess than 24

Indexed comparison from the reported reduction of more than 76%. Absolute processing times were not supplied.

The solution

How the team
moved it forward.

The team built a serverless enrollment system using human-centered design and SAFe practices. Rewriting the transformation logic in Python reduced the processing time and supported model onboarding.

  • Build serverless enrollment capabilities for 4i.
  • Rewrite complex transformation logic in Python.
  • Support onboarding for seven models and achieve ATO on the first attempt.
Delivery approach · Simplified from the documented scope
  1. 01BeforeComplex transformation programming
  2. 02ChangePython transformations
  3. 03AfterMore than 76% less processing time
Savings & impact

Reduction in transformation time.

The reported reduction is more than 76% in transformation processing time. The chart indexes the original duration to 100; the new duration is below 24. No dollar value or absolute processing duration was supplied.

Partner-reported time savings

Delivery approach

Serverless enrollment workflows combined SAFe delivery practices and human-centered design with modernization of transformation logic.

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