HCL Technologies, a global IT Managed Service Provider (MSP), provides hybrid cloud managed services to large enterprises and Fortune 500 companies. As cloud adoption accelerated, HCL faced increasing challenges in managing service incidents efficiently and reducing operational costs. Key issues included alert fatigue and high operational noise, as IT teams were overwhelmed by thousands of alerts per month, slow mean-time-to-restore (MTTR) due to manual, rule-based incident management, and limited automation in service resolution, delaying cloud migration adoption for enterprise clients. To improve incident management, reduce manual workloads, and enhance service assurance, HCL needed an AI-powered AIOps solution to streamline cloud-based IT operations.

HCL Technologies deployed Moogsoft AIOps, integrating it with HCL’s DRYICE iAssure Platform to automate incident detection and resolution across hybrid cloud environments. With Moogsoft’s AI-powered anomaly detection and event correlation, HCL was able to automate incident triage, reducing the number of help desk tickets by 62%. The organization clustered and correlated alerts, consolidating 85% of event data into actionable insights. AI-driven monitoring was integrated across 30+ enterprise IT tools, including AWS Cloudwatch, ServiceNow, AppDynamics, Dynatrace, and JIRA. By implementing machine learning-based alert filtering, Moogsoft enabled real-time incident detection and proactive IT operations, reducing service downtime and improving cloud adoption rates.