Case Study: Homepoint cuts costs by $800K/month and boosts loan-processing efficiency 20% with Confluent

A Confluent Case Study

Preview of the Homepoint Case Study

Homepoint Sets Data in Motion to Streamline Loan Processing with Confluent

Homepoint, a rapidly growing mortgage lender, faced slow, manual loan-redisclosure workflows and limits of off‑the‑shelf APIs that couldn’t keep pace with business needs. To modernize its stack, Homepoint partnered with Confluent and adopted a cloud‑native, event‑driven architecture on Azure using Confluent’s streaming platform (Apache Kafka), Debezium CDC, Schema Registry and ksqlDB exploration to put loan data “in motion.”

Confluent helped build a streaming pipeline (Debezium PostgreSQL CDC → Kafka topics → domain microservices with Schema Registry) that automated redisclosures and surfaced near‑real‑time loan changes. The Confluent‑enabled solution cut costs by $800,000 per month, increased efficiency by 20%, accelerated deployments by up to 40%, delivered near‑real‑time insights, and provided proactive vendor support—freeing Homepoint to expand automation across closures, underwriting, and servicing.


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Homepoint

Chris Varro

Senior Managing Director - Systems Development


Confluent

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