800TB, Zero Pipelines: How Ensemble Health Partners Built an AI-Ready Revenue Cycle on Lakebase
Overview
| Experience | In Person |
|---|---|
| Track | Artificial Intelligence & Agents |
| Industry | Healthcare & Life Sciences |
| Technologies | Agent Bricks, Lakebase |
| Skill Level | Intermediate |
Ensemble Health Partners manages revenue cycle operations for 30+ health systems, processing 25 billion+ transactions across 800TB of healthcare financial data. Legacy SQL Server sprawl —1 5 individual databases with separate schemas —c reated silos that blocked cross-client insights and slowed AI innovation in an industry where providers operate on 1% margins.
This session shows how Ensemble consolidated onto Databricks Lakebase as their AI-ready transactional layer, eliminating brittle pipelines and enabling self-service pods to materialize views directly from harmonized Delta tables. The results: 3–5% net revenue yield improvement ($30M+ per $1B health system), 20% organizational efficiency gain, and 10x reduction in failure rates — while powering agentic AI workflows for denial prevention, AR follow-up, and payer-behavior prediction at scale.
Session Speakers
Surya Sai Turaga
/Field Engineering
Databricks
Grant Veazey
/CTO, EVP
Ensemble Health Partners