Identified a critical vulnerability in the brokerage’s Revenue Recognition process, where manual audits were required to differentiate between company-procured leads and agent-owned contacts. The existing "human-in-the-loop" verification process—which involved cross-referencing disparate email, phone, and history logs—was highly susceptible to error and created significant financial leakage. To protect the organization's bottom line, a scalable, automated Lead Attribution Engine was required to ensure 100% commission accuracy and eliminate manual follow-up bottlenecks.

Engineered a proprietary Lead Source Verification (LSV) Console to institutionalize the brokerage’s commission-split audits. By architecting a custom data-matching engine, the system automatically aggregates all related CRM contacts based on multi-factor search criteria (Name, Email, Phone, etc.) into a centralized work queue. I integrated real-time history "hover" previews and a unified Activity Center to eliminate multi-tab navigation, allowing reviewers to execute complex lead-attribution audits, communicate with agents, and document the entire verification lifecycle within a single, high-velocity interface.