# PolicyAgent

- **Event:** [Agentic Memory & Context Engineering Hackathon](https://cerebralvalley.ai/e/mongoDB-hackathon)
- **When:** Sat, Oct 11 at 9:00 AM – 10:00 PM (PDT)
- **Where:** Shack15, San Francisco, CA
- **Team:** [Dhruv Miyani](https://cerebralvalley.ai/u/dhruvmiyani)
- **GitHub:** https://github.com/DhruvMiyani/PolicyAgent-MongoDB-SFTW
- **Demo video:** https://www.loom.com/share/433a32a43ff14b049f36f9a1fa466a63?sid=c19762e4-eaf4-4bce-a849-17521331a16c
- **Gallery:** https://cerebralvalley.ai/e/mongoDB-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/mongoDB-hackathon/hackathon/gallery/55

PolicyAgent is an AI-driven agent that reviews not only employee expense submissions, but also procurement / vendor purchase requests, against a unified company policy framework. It classifies each request as compliant or non-compliant, cites relevant policy text or rules, and can approve, deny, or escalate depending on clarity and risk.

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Markdown version of https://cerebralvalley.ai/e/mongoDB-hackathon/hackathon/gallery/55. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt