Industry

Construction Technology / InsurTech

Technology Leveraged

Databricks Lakehouse Platform
Delta Lake
Delta Live Tables (DLT)
Unity Catalog

Project Solution

Chetu deployed a Databricks Lakehouse solution to consolidate structured and unstructured data to drive real-time analytics, more advanced machine learning, and controlled, audited sharing of data at scale. The architecture eliminated data silos, accelerated insights, and offered a platform to be used in future innovation.

The Client

The client was a U.S.-based construction technology and InsureTech company that provides real-time, property-specific building code with compliance information. They serve contractors, insurers, and claims adjusters and their platform is critical to speed and accuracy.

As U.S. insurance fraud is estimated at $308 billion a year (approximately 900$ per policyholder), they needed an AI-driven real-time solution to consolidate data, stream checks, and fight fraud on a national scale.

The Approach

Rapid Data analytics

Integrate building codes, property information, weather records, and permits into one Lakehouse.
Created analytics pipelines to determine compliance trends, enhance estimating calculators, and calculate weather impacts on roofing projects.

ML to Automate Insights

Extracted valuable fields in permits, claims, and contractor reports using NLP.
Developed a materials recommendation engine, code interpretation,s and contractor selection.
Leveraged deployed anomaly detection models to detect data errors or fraudulent claims - used AI-powered fraud detection methods that have cut payouts on fraudulent claims by 20-40%.

Real-Time Data Processing and Ingestion

Applied Delta Live Tables (DLT) to declarative ETL with in-built quality checks.
Leveraged Auto Loader to continuously ingest updated codes, property records, and weather feeds.
Enhanced auto scaling and serverless compute to increase performance and optimize costs.

Optimization of Insurance Claims

ML models were developed to predict severity, detect fraud, and manage it through MLflow.
Implemented a dynamic rule engine to auto-approve low-risk claims.
Shared data with insurance partners through Unity Catalog using secure data sharing.

The Impact

This is already delivering the client near-real-time compliance and claims intelligence, reducing manual time to process by 60 percent, accelerating claims resolution by 40 percent, and cutting fraud risk by a significant margin in accordance with industry-proven AI metrics. Those advantages include enhanced operational efficiency, reduced costs, and increased customer satisfaction. The client forged a market dominance through scalable cloud architecture and narrow AI models. This allowed quick, precise, and fraud-proofed roofing compliance and processing of claims that elevate the standards in the construction and insurance sectors.

Ready to transform your compliance and claims processes with Databricks?

Partner with Chetu to unify your data on the Databricks Lakehouse, harness AI‑driven insights, and reduce fraud — all while accelerating decision‑making. Let’s build your next success story together.

AI-Powered Compliance & Claims Intelligence on Databricks Lakehouse