The firm is a global leader in the pharmaceutical industry with over 25+ years of expertise. The firm specializes in active pharmaceutical ingredients (APIs), generics, biosimilars, and custom pharmaceutical services. With a diverse portfolio spanning over 300 products across therapeutic areas like oncology, cardiology, HIV/AIDS, and neurology, the firm is committed to making affordable medicines accessible worldwide. On the mission to deliver cutting-edge healthcare solutions, they recognized the critical need to modernize their IT infrastructure and business processes, bringing them to partner with Cloud4C.
The enterprise's legacy infrastructure was costly and lacked scalability, while manual, error-prone processes in quality control, compliance documentation, and product reviews were time-consuming and led to delays. Fragmented data across multiple systems delayed decision-making, and manual efforts in regulatory compliance processes like RCA, pharmacovigilance and APQR (Annual Product Quality Review) were resource intensive. These challenges created operational bottlenecks, compromised regulatory compliance, and reduced overall productivity, necessitating a comprehensive digital overhaul.
Cloud4C delivered a transformative solution by migrating the client's infrastructure to Microsoft Azure. Key processes like quality control and regulatory compliance were automated using Robotic Process Automation (RPA) and AI-driven automation , significantly reducing manual workload and errors. A centralized data warehouse integrated with BI dashboards powered the firm with real-time insights, enhancing decision-making. AI-powered solutions for Root Cause Analysis (RCA), pharmacovigilance monitoring, and APQR automation further improved compliance processes, ensuring faster, more accurate reporting and regulatory adherence across the organization.
30-40% reduction in Total Cost of Ownership (TCO).
13,500+ hours saved per month via RPA automation in QC.
80% faster investigation times with AI-driven RCA improving audit readiness.
70% reduction in manual workload with AI-powered pharmacovigilance.
APQR process reduced from3 months to a few days with AI.
N -1 Business Intelligence reporting and visualization, for informed decision-making.
Right-sizing of SKUs on Azure, improving performance and user response times.
Seamless data integration across multiple platforms, eliminating data silos.