The Impact
45
%
reduction in Mean Time to Resolution (MTTR)
60
%
fewer redundant alerts and escalations
30
%
productivity gain within operations team
Enterprise AI: Build or Buy?
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ITOps operated in a fragmented, reactive environment with frequent disruptions and limited cross-team visibility. Over a dozen disconnected monitoring, ticketing, logging, and documentation tools created data silos and alert fatigue. Root-cause analysis was slow and inconsistent, extending MTTR and eroding confidence. The lack of an integrated, end-to-end operational view made it difficult to trace upstream and downstream impacts, driving redundant investigations and productivity loss.
Unframe deployed an AI-native command center that connects monitoring, ticketing, and logging data to deliver real-time, explainable insights. Through natural-language queries, teams can uncover root causes and understand service impacts instantly with full source transparency. Automated correlation, deduplication, and ticket enrichment moved operations from reactive firefighting to proactive reliability management without any tool consolidation or rip-and-replace.
