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migration cost avoidance [illustrative]
shorter migration timeline [illustrative]
modernization delivery window [illustrative]
A Mid-Atlantic Medicaid agency was responsible for claims and coverage operations for 2.1 million beneficiaries on a mainframe estate built over three decades.
COBOL programs and copybooks held the rules that determined eligibility, coverage, claims handling, and downstream reporting.
The modernization challenge was that no team could safely rewrite what it could not fully see.
Critical business rules were distributed across procedural code, flat files, copybooks, and batch workflows, making manual discovery slow, expensive, and risky.
A conventional migration path threatened to consume more than $190M in services spend, extend beyond the CMS FHIR compliance window, and keep annual legacy infrastructure costs in place.
The executive mandate was to meet FHIR interoperability requirements without repeating prior stalled modernization attempts.
The agency needed a production-grade approach that could understand legacy logic, generate FHIR-ready outputs, and give leaders confidence before cutover.
Novacis Digital deployed AI Data Migrator, a production-grade modernization solution that helps agencies convert complex legacy data into interoperable, cloud-ready assets without losing operational meaning.
The solution analyzed COBOL programs and copybooks to extract business rules, create data lineage, map Medicaid data to FHIR R4 resources, and generate transformation logic for AWS-native deployment.
It also produced validation evidence that showed where automated outputs matched source-system behavior.
What made the solution different was Medicaid-specific control: eligibility, claim, coverage, provider, and explanation-of-benefit data were mapped with traceability, while complex or low-confidence transformations were routed for human review.
This shifted the operating model from high-risk manual migration to controlled FHIR modernization with evidence at every step.
AI Data MigratorCapabilities
Medicaid ModernizationFeatures
AI Data Migrator was introduced through a 6-week modernization pilot covering core Medicaid claims and eligibility logic.
After pilot validation, Novacis Digital expanded the program across 1,200 COBOL programs over a 10-week scale-up period, creating the first production-ready set of FHIR mappings, lineage evidence, and transformation assets.
The early rollout let teams inspect mapped rules, review low-confidence exceptions, and compare converted outputs against mainframe behavior before release decisions.
That momentum changed the modernization posture from deadline exposure to execution control, directly addressing the agency’s risk of missing CMS FHIR readiness because of manual reverse-engineering delays.
Addressed $42M–$68M in annual legacy run cost exposure by creating a validated path to mainframe retirement; logic: licensing, storage, batch operations, and support run-rate.
Moved CMS FHIR readiness from deadline risk to controlled review before the manual migration plan could complete.
Created a governed Medicaid interoperability foundation for beneficiary access and future CMS API requirements.
Produced 99.6% parity across transformed claims outputs [illustrative] using source-to-target comparison before cutover approval.
Reduced manual review burden on COBOL and Medicaid SMEs by shifting teams from broad discovery to targeted validation.
