Case Study: US-based Mortgage Provider increases qualified leads by 50% with Enthu.AI

US based real estate private lender leverages Enthu’s speech AI to improve qualified leads by more than 50%

US-based Mortgage Provider, a New York–headquartered real estate lender specializing in bridge loans, fix-and-flip and rental investment products, was rapidly scaling its voice teams and found manual QA and call monitoring could not keep pace. The company needed a high-accuracy conversation intelligence solution that integrated with Aircall and HubSpot to replicate a scalable sales process and improve lead qualification. They selected Enthu.AI’s speech AI and conversation intelligence to address these challenges.

Enthu.AI was integrated one‑click with Aircall and HubSpot to monitor 100% of calls, tag SQL/MQL signals, and push transcriptions and insights into the CRM; evaluations became 3x faster and coaching moved from days to minutes. The solution lifted lead qualification rates by more than 50%, cut bad leads passed to loan officers by 85%, increased monthly agent evaluations by 150%, and raised QA coverage for SQLs to 100%, delivering measurable improvements across the voice operation.