Case Study: Lendz improves Salesforce data quality and powers AI insights with Weflow

How Lendz uses Weflow to improve Salesforce data quality and power AI-driven insights

Lendz, a tech-driven mortgage lending platform, faced challenges with Salesforce data quality due to the limitations of Einstein Activity Capture. Their prospect's use of multiple email addresses created duplicate contacts and data fragmentation. This was a critical problem as Lendz needed high-quality, comprehensive activity data to train its internal AI models for automating rep follow-ups and insights.

Weflow provided a solution with its automated activity capture, which seamlessly integrated with Microsoft 365 and Salesforce. Weflow's system automatically mapped emails to the correct Salesforce records, even when prospects used multiple addresses, preventing duplicates. This implementation gave Lendz clean, unified data, which became the foundational layer for powering their AI-driven initiatives and future growth.

Lendz

Erick Mahle

VP of Revenue Operations & Digital Transformation