Case Study
Noventiq is a London‑headquartered IT solutions and services provider specializing in digital transformation and cybersecurity, connecting over 80,000 organizations worldwide. With operations in nearly 60 countries, its Indian offices in Mumbai, Gurugram, and Bangalore underscore its strong local presence and commitment to delivering tailored managed services and vendor solutions.
2.2
million
lines of code across
Java, HTML and SQL
~30%
less
effort to discover
and understand the application
40%
cut
in cloud modernization
roadmap design time
“CAST reduced discovery time by 30%, revealing modernization risks along with mitigations upfront.”
Yogesh Sharma
Head – App Modernization
CAST Highlight and CAST Imaging enabled Noventiq to accelerate discovery, shape the cloud modernization roadmap, and de-risk modernization of a complex monolithic application.
Challenge
A leading Hospital Management Suite and EMR provider needed to move a monolithic platform to a SaaS-ready model. Visibility into the legacy codebase was limited, obscuring module boundaries, hidden dependencies, and component obsolescence. Selecting the candidates for extraction was risky and slow. Open-source vulnerabilities and compliance concerns compounded uncertainty. Manual analysis threatened delays, higher costs, and disruption for clinical users relying on workflows.
Solution
Noventiq leveraged CAST Highlight & CAST Imaging to uncover the application’s structure in a week.
Auto blueprinting made module interactions clear, while dependency maps exposed hidden links and good candidates for SaaS extraction. Complexity scores set priorities. Old and non-cloud parts were flagged, and open-source risk checked. The result was a risk-aware plan covering service extraction, multi-tenant data changes, replatforming, and security and governance.
Results
The customer accelerated modernization: 30–35% effort saved during discovery, 25% risk reduction by surfacing hidden dependencies early, and a 40% cut in roadmap design time. A component inventory improved decision-making speed.
The stepwise path enabled accelerated SaaSification on AWS with minimal disruption, culminating in a cloud-native platform delivering scalability, maintainability, and compliance while reducing modernization risk and aligning business and engineering.
