Insurance capstone: production claims assistant
Solve a real insurance problem end to end, such as faster claims, and ship it with monitoring, a bias review and a demo.
The brief
Customers want quick, clear help when they claim, and insurers want lower costs without unfair outcomes. Build and deploy a claims-help assistant (or another insurance AI product you scope with your mentor), with cost limits, monitoring and a bias review. Good looks like: a deployed product, measured quality and cost, a fairness review, dashboards and a demo for a panel.
What you will build
- Scope the problem and success measures with your mentor
- Build the product with grounding and tools
- Evaluate quality and test for unfair outcomes
- Deploy with monitoring and cost limits
- Review security and privacy
- Present the results and trade-offs to a panel
Free, open data to build it with
- Health insurance cross-sell prediction ↗ Kaggle
- IRDAI regulations and policy wordings ↗ IRDAI
Check each dataset's licence before you publish your work. Your mentor gives your team its own version of the brief (data, scope or region), so every team's project is its own.

