Agentic AI for Capital Markets
Research automation, trade surveillance, and portfolio risk analytics built on the Databricks Lakehouse. From pilot to production in 16 weeks.
60%+
of analyst time spent on data gathering
327%
growth in multi-agent systems adoption
4x
increase in agentic AI mentions on earnings calls
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 capital markets?
We take you from pilot to production in 16 weeks on the Databricks Lakehouse.