Insurers hold their most valuable facts in documents. Agent Bricks and the lakehouse can turn them into decisions.
Insurers can turn claim PDFs and forms into structured data with Agent Bricks, then triage and route claims by risk on Databricks. Governed extraction keeps an audit trail from document to decision. Keep adjusters in the loop for high-risk claims, and measure triage time and leakage before and after.
Insurance runs on documents. Policies, claim forms, medical reports, invoices and adjuster notes hold the facts that decide every claim.
Most of those facts are locked in PDFs and free text.
When key facts are unstructured, every claim is reviewed the same way. Simple claims wait behind complex ones. Fraud signals are hard to spot across documents.
We usually start with one claim type and a few hundred historical claims. The aim is to prove extraction quality and agree on triage rules with claims leaders before scaling.
The same foundation supports pricing analytics, underwriting workbenches and agent and broker performance reporting.
NeuralShore Engineering, Databricks delivery team
Databricks architects, data engineers and AI engineers at NeuralShore, DLytica’s Databricks delivery company. Leadership comes from IBM data and AI architecture.
It extracts structured data from claim forms, PDFs and notes, so claims can be triaged and analyzed automatically.
High-risk decisions should keep a human in the loop. AI routes and prioritizes; adjusters decide.
What Canadian banks, insurers and enterprises need to plan for when they build on Databricks: Canadian regions, OSFI guidelines, PIPEDA and Québec Law 25.
Read the article: Databricks in Canada: data residency, OSFI and Québec Law 25 →Genie One is now generally available for business users, and Genie Code brings an AI coding agent to data engineering and ML.
Read the article: Genie One and Genie Code: what they mean for data teams →
