Agentic AI for Insurance
Claims triage, underwriting copilot, and fraud detection built on the Databricks Lakehouse. From pilot to production in 16 weeks.
7%
of insurers at scale with AI in claims
64%
cite document processing as top priority
93%
still process claims manually
Use Cases
Quick-win AI solutions built on Databricks. Click each to explore the architecture, model choice, and impact.
Implementation Timeline
From discovery to production in 16 weeks. Each phase has clear deliverables and go/no-go criteria.
Discovery
2 weeksUse case scoping, data audit, architecture design, success criteria
Proof of Concept
4 weeksCore agent build, model selection, initial evaluation, stakeholder demo
Pilot
6 weeksProduction data, MCP integrations, human-in-the-loop, compliance review
Production
4 weeksDeployment, monitoring, AI Gateway, team training, knowledge transfer
Ready to operationalize AI in insurance?
We take you from pilot to production in 16 weeks on the Databricks Lakehouse.