Proactive anomaly detection improving service delivery efficiency by 40% for a UK MSP
A leading UK managed service provider supporting 1,200 mid-market clients was drowning in reactive tickets. Average time-to-resolution stood at 6.8 hours.
StartDate delivered an AI-first AIOps platform that continuously learns “normal” behavior for every client environment. Using unsupervised deep learning on log, performance, and configuration data, the system predicts and prevents 68% of incidents before the client notices. When prevention isn’t possible, it auto-creates tickets with 87% accurate root-cause analysis and suggested runbooks.
Within six months, proactive incident prevention rose from 4% to 68%, SLA compliance hit 99.97%, and engineer efficiency improved 40%. The MSP added £7.8 million in new recurring revenue by white-labeling the platform as “Predict & Prevent Managed Services.”