Case study · From the Pluris libraryReceipt no. 2857
What sucked
Rafay's internal knowledge was fragmented across Slack, Jira, and Zendesk, marketing content creation couldn't scale manually, and there was no predictive monitoring for Kubernetes cluster health.
What they built
PressW delivered Rafay Systems an AI opportunity audit: an extensive discovery phase across operations, then three scoped core systems, a centralized knowledge base with an AI Q&A chatbot, AI content generation for SEO and lead gen, and a Kubernetes spend optimizer with predictive analytics and anomaly detection, plus implementation roadmaps across six operational areas.
What changed
$1M+ in Savings Identified
The audit surfaced more than $1M in estimated savings across the operation.
6 AI Opportunities Mapped
Six distinct automation opportunities were identified, each with an implementation roadmap.
Fragmented Knowledge Unified
A centralized knowledge base with AI Q&A pulls together Slack, Jira, and Zendesk content.
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