Re-Architecting Workforce Compliance for Scale, Speed, and Resilience
A cloud-native compliance platform combining large-scale data migration, real-time visibility, and audit-ready operations.
Outcome Snapshot
Real-time
Audit readiness across compliance workflows
2.5×
Faster onboarding for new enterprise clients
90%
Effective compliance reporting and documentation
50%
Faster feature deployment and release cycles
Client
A digital training, learning management, and competency solutions platform for safety-critical industries such as oil & gas, drilling, and renewables. It supports global organisations requiring strict compliance, certification tracking, and audit readiness.
Challenge
The business’s legacy systems were no longer able to support the scale, flexibility, and compliance demands of a growing global customer base. Data was fragmented across systems, workflows were manual, and reporting lacked real-time visibility.
At the same time, the business needed to:
-
Migrate large volumes of sensitive workforce and training data
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Rebuild its platform into a scalable, cloud-native SaaS solution
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Maintain auditability and compliance integrity throughout
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Retain customer trust during a high-risk transition
With customers at risk of churn, the transformation required not just technical execution, but stability, transparency, and speed.
Objectives
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Migrate legacy workforce, training, and certification data to a modern platform with high accuracy
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Rearchitect the legacy system into a scalable, cloud-native SaaS platform
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Enable real-time compliance tracking and audit readiness
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Standardise and normalise complex, tenant-specific data structures
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Support customer retention through seamless transition and improved platform experience
What We Built
1. End-to-End Data Migration
A structured, multi-phase migration pipeline covering extraction, transformation, validation, and import of complex workforce and training datasets
2. Cloud-Native SaaS Platform
A fully rearchitected, serverless platform built on AWS with microservices and event-driven architecture to support scalability and performance
3. Event-Driven Data Processing Engine
Automated workflows using AWS Lambda and Step Functions to enable real-time updates, validation, and service-level synchronisation
4. Standardised Data & Schema Normalisation
Contract-based data models and structured transformation pipelines to unify inconsistent legacy data across tenants
5. Audit-Ready Compliance Framework
End-to-end traceability with logging, validation layers, and attestation-ready data structures for compliance reporting
6. Customer Transition & Enablement Support
Active involvement in reporting, demonstrations, and delivering transparency to rebuild customer confidence and ensure smooth adoption
Impact
Successful
migration of business-critical data without disruption to operations
Real-time
compliance visibility enabling faster and more reliable audit readiness
Reduced
dependency on manual processes through automation and standardisation
Rebuilt
customer confidence, ensuring retention and continuity during transformation
Build Facts
Platform
AWS Aurora
AWS Lambda
AWS Step Functions
CloudWatch
Amazon S3
Focus
Schema normalisation and data standardisation
Cloud-native SaaS rearchitecture (microservices & serverless)
Audit-ready compliance and traceability
Automated validation and production-safe migration pipelines
Let’s talk, no strings attached.
