Insurers use Databricks to turn policy and claims documents into data, price risk on governed features and route claims by complexity.
Insurers use Databricks for claims triage and fraud detection, document AI on policies and claims, pricing and underwriting analytics, and channel performance. Agent Bricks extracts data from documents, and Unity Catalog keeps pricing data governed and auditable.
Adjusters review every claim the same way, whatever its risk.
Agent Bricks · Vector Search · MLflowClaims routed by risk and complexity, with suspicious ones flagged for review.
Key facts are locked in PDFs, forms and adjuster notes.
Agent Bricks information extraction · Unity CatalogStructured data from documents, ready for analytics and audit.
Pricing models run on old data extracts, outside governance.
Delta Lake · MLflow · Unity Catalog MetricsGoverned pricing features and models the actuarial team can reuse.
Sales data from each channel is reported separately and late.
Lakeflow Connect · AI/BI · GenieA single view of channel performance, refreshed daily.
An end-of-life appliance and hundreds of DataStage jobs feeding actuarial and claims reporting.
Read the journey: IBM Netezza and DataStage to Databricks for an insurer →Insurers hold their most valuable facts in documents. Agent Bricks and the lakehouse can turn them into decisions.
Read the article: Insurance: from claim PDF to decision with document AI →
