Fit + intent scoring, capacity-aware routing, and decision logs that reduce disputes and speed follow-up.
Client names withheld by NDA. Details are generalized to protect privacy while preserving the technical and operational shape of the work.
Leads were misrouted, follow-up SLAs were inconsistent, and RevOps couldn’t explain (or audit) why a lead went where it went.
Browse related examples of AI inside revenue systems.
A canonical data model + validated pipelines so leadership stops arguing about numbers and starts acting.
ReadAutomation that respects region/consent rules and adds AI leverage without polluting the CRM.
ReadNormalization + validation gates so enrichment makes routing/segmentation better—not worse.
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