A LinkedIn post from Kustomer highlights a new set of product enhancements focused on analytics, AI quality, and customer interaction controls. The post describes “Signals,” which analyzes customer behavior, conversation history, and sentiment to surface high-priority issues and help agents respond faster while reducing escalations.
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The company’s LinkedIn post also outlines expanded AI Evaluations within its AI Agent Assistant, aimed at improving test coverage and evaluation workflows directly in the platform. In addition, Kustomer reports an upgraded, fully configurable Average Handle Time metric that is consistent across reporting surfaces and can be segmented by any conversation attribute.
Further, the post points to new capabilities for comparing AI agent versions, enabling users to identify changes across deployments with added context from version notes. Operational controls have also been strengthened through IVR fallback configuration options, intended to improve handling of no-input scenarios and enhance call routing accuracy.
The LinkedIn update notes more granular control over Dialpad messaging, allowing agents to personalize how they send and manage SMS to better match their workflows. For investors, these enhancements suggest continued investment in AI-driven support tooling, analytics, and telephony integration, which may improve platform stickiness, support larger enterprise use cases, and reinforce Kustomer’s competitive position in the customer experience and CRM market.