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Case study
HealthcareLegacy ModernizationAWS

Confidential · Enterprise Pharma

A clean cut-over with zero audit findings and a 60% lower run-the-business cost.

Engagement at a glance
Timeline
22 months
Team
1 architect · 4 engineers · 1 QA lead
Industry
Healthcare
ROI
60% lower run-the-business cost.
Engagement summary

GxP systems on an end-of-life mainframe with regulatory deadlines closing in.

Engagement overview

Context, scope, and success criteria

The organization was running GxP systems on an end-of-life mainframe, and the modernization program had to complete before regulatory deadlines closed the window. Any solution had to preserve auditability, protect validated workflows, and avoid operational disruption.

Project snapshot
Timeline
22 months
Team
1 architect · 4 engineers · 1 QA lead
Industry
Healthcare
Primary stack
AWS cloud native
Objectives
  • Migrate validated workloads without compliance risk or loss of historical traceability.
  • Reduce run-the-business costs and platform fragility across the core platform estate.
  • Ensure safe cut-over with rollback protections and explicit validation checkpoints.
  • Preserve the operating model required by regulated teams during the transition.
Challenge

Why the work started

GxP systems on an end-of-life mainframe with regulatory deadlines closing in.

Solution

What we built

A strangler-fig modernization over 22 months with validated migration of each subsystem.

0
Audit findings
60%
Lower TCO
22 mo
Duration
Architecture

Legacy versus modern flow

Platform structure
Legacy state

An end-of-life mainframe estate with validated workflows, high operating cost, and significant operational fragility.

Modern stack

A phased modernization path that preserved validation, separated critical workloads, and reduced total run-cost while keeping compliance controls intact.

Delivery

How the work was executed

01

Designed a subsystem-by-subsystem migration plan with validation checkpoints aligned to regulated processes.

02

Ran parallel validation and automated reconciliation across legacy and target environments.

03

Executed phased cutovers with controlled rollback windows and documented approvals.

04

Retired mainframe dependencies only after downstream consumers had completed acceptance testing.

Governance

Controls and delivery rhythm

Program governance aligned engineering, compliance, and QA checkpoints throughout migration waves, with documented sign-off at each cut-over milestone.

The organization modernized critical systems with full audit confidence and materially lower operating cost, while reducing the fragility of the underlying platform estate.

Outcome

Results and next steps

Business outcome
60% lower run-the-business cost.

A clean cut-over with zero audit findings and a 60% lower run-the-business cost.

Next phase

Current focus is extending modernization benefits into advanced analytics, AI-enabled operations, and additional validated workflows.

Have similar architecture bottlenecks?

We can map the same modernization pattern to your infrastructure, release process, and operating model.