Banking

Agentic AI for Banking

KYC/AML compliance, loan origination, and regulatory reporting built on the Databricks Lakehouse. From pilot to production in 16 weeks.

80%

of banks cite compliance as top challenge

74%

struggle to scale AI beyond pilots

54%

prioritize cost savings from AI

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.

1

Discovery

2 weeks

Use case scoping, data audit, architecture design, success criteria

2

Proof of Concept

4 weeks

Core agent build, model selection, initial evaluation, stakeholder demo

3

Pilot

6 weeks

Production data, MCP integrations, human-in-the-loop, compliance review

4

Production

4 weeks

Deployment, monitoring, AI Gateway, team training, knowledge transfer

Ready to operationalize AI in banking?

We take you from pilot to production in 16 weeks on the Databricks Lakehouse.