Business Challenge
The client's primary system, which served as the backbone of its operations, was several decades old and no longer supported by the manufacturer. As a result, the company required a migration to a more modern platform. The additional challenge was that the client operates within the highly regulated environmental industry, subject to rigorous government oversight. Beyond regulation, the project also had to meet strict safety and compliance expectations, which shaped architectural choices, development practices, and validation activities.
The migration needed to deliver more than a modern platform. It had to guarantee continuity of mission-critical processes, withstand regulatory scrutiny, and reduce long-term operational risks.
When searching for a partner, the company sought vendors capable of combining modernization expertise with a deep understanding of compliance-driven environments.
After a competitive evaluation process and following a rigorous assessment, DataArt was selected to lead this multi-million-dollar migration project.
Solution: Smarter Migration Through AI-Assisted Code Generation
To accelerate modernization and reduce manual effort, DataArt introduced a GPT-4-powered engineering workflow using Azure OpenAI. The solution enabled:
- Automated generation of .NET code and acceptance criteria from legacy SQL scripts
- Streamlined development, reducing manual coding time through automated task handling
- Standardized, explainable AI-generated outputs that lowered the risk of human error
This AI-assisted workflow boosted developers' productivity by 40% on SQL-heavy tasks, and helped the team meet aggressive delivery timelines.
The approach combined rapid AI-assisted engineering with careful planning to ensure business continuity and long-term scalability. Together with the client’s leadership, we aligned the technical solution to long-term business and operational goals.
The platform was designed as a modular, service-oriented architecture, deployed on-premise to meet regulatory requirements but built with future cloud migration in mind. We adopted a phased migration approach, allowing legacy and modern systems to run in parallel, ensuring uninterrupted operations throughout the rollout.
Business value was prioritized throughout. Together with the client’s leadership, we identified high-impact workflows and migrated them first, delivering early value to end users. To further smooth adoption, we developed a structured user onboarding process that helped employees quickly adopt the new system, minimizing disruption and accelerating the return on investment.
Key Highlights
- 40% boost in Developer Efficiency on SQL-heavy tasks
- Faster modernization with AI-generated acceptance criteria and .NET scaffolding
- Lower maintenance costs by reducing technical debt
- Future-ready infrastructure built for scalable development
- Reduced overall time and cost of modernization
