Transformation highlights from our healthcare engagements
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Health System
Migrating Three Acquired Entities Onto One Compliant Cloud Platform
Multiple application estates, data platforms, and compliance requirements had to converge on an 8-month timeline with zero tolerance for care disruption. We ran three parallel workstreams across application, data, and infrastructure layers, into a HIPAA-compliant AWS landing zone with encryption, IAM, and audit logging built in from inception - validating each migration wave with rollback planning before promotion.
3 entities migrated and a full data center exit completed in 8 months
Originally delivered for a multi-entity health system - the same pattern applies to any provider network consolidating infrastructure under a deal-driven deadline.
Compliance Center
Modernizing 10M+ Employee Records Under Rising Audit Exposure
Mainframe-based compliance systems with limited scalability and undocumented business logic were creating growing audit exposure. We reverse-engineered the legacy estate to document every business rule and dependency, rebuilt it as a cloud-native microservices architecture, and validated the cutover with large-scale automated equivalence testing before retiring the old platform.
10M+ employee records migrated to the modern platform
30% reduction in processing time
15% reduction in operational risk, with improved audit readiness
Originally delivered for a healthcare compliance center - the same pattern applies to any regulated organization retiring undocumented legacy logic under audit pressure.
Healthcare Data Ops
Turning Unstructured Documents Into Audit-Traceable PHI Records
Manual document workflows couldn't handle the volume, variability, or PHI-handling requirements the business needed. We built a multi-agent OCR pipeline covering ingestion, classification, extraction, and validation, with PII redaction integrated directly into the processing flow and confidence-based routing sending only genuine exceptions to human review.
95%+ accuracy in document processing and field extraction
80–90% of routine document handling fully automated
Cycle time cut from days to minutes for large document batches
Originally delivered for a healthcare data operations team - the same pattern applies to any payer or provider processing high-volume unstructured PHI documents.
