From Traditional Software Delivery to AI-Augmented DevOps at Scale: Transforming a Global Life Sciences Enterprise on AWS

A global life sciences enterprise supplying analytical instruments, clinical development solutions, specialty diagnostics, laboratory equipment, and biopharma services. The client’s digital platform division operates in a highly regulated environment where software supporting drug discovery, clinical trials, and laboratory information management must meet stringent compliance requirements. The client serves pharmaceutical, biotech, government, and clinical research institutions worldwide.

With 8+ product engineering teams delivering software across a complex portfolio, the client’s release cycles averaged 7-8 hours, deployment failure rates of 15-20% were accepted as normal, and mean time to recover from production incidents took hours due to fragmented observability.

Manual processes, inconsistent toolchains, and the absence of a standardised DevOps platform constrained delivery speed, quality, and compliance readiness.