Case Study
Enhancing Operational Maturity with AI-Led SRE for a Global Medical Firm
Industry
Healthcare & Life Sciences
Location
Global
Our Contributions
SRE Transformation, AIOps Enablement, Observability Modernization
Technologies
Datadog, PagerDuty, AI-Driven Analytics
Coforge partnered with a global medical firm to enhance its operational maturity by adopting AI-led Site Reliability Engineering (SRE) practices. The client faced high alert noise, inefficient incident management, and limited observability, impacting system reliability and operational efficiency.
By implementing an AI-driven SRE framework, Coforge transformed operations from reactive support to proactive, intelligent reliability engineering. The solution improved incident response, reduced alert fatigue, and enabled predictive, data-driven operations, ensuring high availability and performance across critical systems.
The Challenge
The client’s operations were heavily impacted by noisy alerts and inefficient triaging processes, with SMEs spending 60–70% of their time on incident investigation and resolution. Alerts were not aligned with service dependencies, resulting in duplicate notifications and increased operational overhead.
Additionally, inconsistencies between monitoring tools such as PagerDuty and Datadog further complicate alert prioritization. The organization’s SRE maturity was at a basic level, with limited observability and a lack of standardized processes.
Given that a significant portion of revenue was driven by operations in the U.S., ensuring high availability and rapid incident resolution was critical. The client required a robust, scalable solution to improve reliability, reduce alert noise, and enhance operational efficiency.
Our Approach
Impact to Date
20×
Improvement in Mean Time to Repair (MTTR)
15×
Reduction in Alert Noise
99.999%
System Availability Achieved
Improved
Predictive Monitoring & Incident Prevention