How a US Cloud Platform Consolidated Multi-Tool Incident Triage & Reclaimed $185,000
“StackIQ pinpointed exactly where our support engineering budget was leaking. In under a month, CloudMotiv replaced 3 expensive bolt-on bots with a single unified triage workflow built right into Slack.”— VP of Engineering Operations (Client verified under mutual NDA)
1Executive Summary & The Operational Challenge
The client operates a high-availability B2B developer cloud platform servicing over 2,000 enterprise customers across North America. As customer ticket volumes grew 120% year-over-year, different support engineering pods began subscribing independently to point-solution AI bots: one tool for Slack sentiment classification, another for ticket auto-tagging, and a third for runbook retrieval.
This created severe software sprawl: engineers had to reconcile conflicting tags across three different portals during live P1 and P2 escalations, while annual seat licenses accumulated without centralized oversight.
2The StackIQ Diagnostic Audit
CloudMotiv conducted a comprehensive StackIQ diagnostic across the company's incident management infrastructure. Within 10 days, the diagnostic surfaced:
- $15,400/month in overlapping subscriptions: 3 distinct tools were performing essentially the same vector similarity search against the company's Confluence runbooks.
- 45 unused premium seats: Expensive enterprise tier add-ons had been provisioned for team members who had not logged in for over 90 days.
- High context-switching friction: Support engineers took an average of 14 minutes simply navigating between disparate dashboards to assign on-call ownership.
3Solution Architecture & The CloudMotiv Method
Rather than introducing another vendor subscription, CloudMotiv designed and deployed a native workflow automation architecture:
4Tangible Business Outcomes
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