Untitled Book

Hands-On Project: Build a SmartClaims AI Insurance Agent using Microsoft Foundry

Build a production-ready AI Insurance Claims Assistant that can analyze policies, process claims, detect fraud risks, and fetch real-time regulatory updates.

FREE HOP: SmartClaims AI Insurance Agent Guide

You will receive updates on WhatsApp as well.

🚀 Hands-On AI Engineering Project

Build a SmartClaims AI Insurance Agent using Microsoft Foundry

Build a real enterprise-grade AI insurance solution that automates policy understanding, claims analytics, fraud detection, business workflows, and real-time regulatory intelligence using Microsoft Foundry, Azure OpenAI, FastAPI, and Azure Cloud.

Ideal For Professionals in:

AI Engineer
Cloud Engineer / Architect
Backend Developer
Data Scientist / Analyst
Machine Learning Engineer
Automation Engineer
Solutions Architect
Developers exploring AI Agents

Project Overview

Insurance companies process thousands of claims daily. Manual review of policy documents, claim records, and fraud checks is time-consuming and inefficient.


SmartClaims is designed to automate these tasks using an intelligent AI agent capable of:

  • Understanding insurance policies
  • Analyzing claims datasets
  • Detecting fraud risk indicators
  • Answering policy questions
  • Retrieving real-time regulatory updates
You will build a complete end-to-end AI system and deploy it on Azure.

💡 What You Will Build

1

Multi-Tool AI Agent

Create a Python-based AI agent using Microsoft Foundry Agent Service.

  • Understands user queries
  • Uses multiple tools automatically
  • Executes business logic
  • Provides intelligent responses
This is a real AI agent system, not a simple chatbot.
2

Policy Document Intelligence (RAG)

Implement Retrieval-Augmented Generation to enable the agent to search and understand insurance policy documents.

  • Retrieve relevant sections from documents
  • Answer policy coverage questions
  • Turn static files into a searchable knowledge base
3

Claims Data Analytics with Code Interpreter

  • Analyze claims datasets
  • Identify fraud indicators
  • Generate insights and trends
  • Create visualizations from natural language queries
Example: “Show fraud rate by region”
4

Business Logic Automation

  • Check claim status
  • Calculate fraud risk scores
  • Execute business rules
  • Return structured responses
5

Real-Time Web Search Integration

  • Fetch latest insurance regulations
  • Retrieve industry updates
  • Provide real-time insights
6

Full-Stack AI Web Application

  • Upload claims datasets (CSV)
  • Upload policy documents (TXT/MD)
  • Ask questions through a chat interface
  • Run analytics and fraud detection
7

Deploy to Azure Cloud

  • App Service deployment
  • Managed Identity authentication
  • Environment configuration
  • Secure cloud hosting
You finish with a live-deployed AI application.

Key Outcomes

Answer insurance policy questions instantly
Analyze claims datasets using AI
Detect potential fraud risks
Check claim status automatically
Retrieve real-time regulatory updates
Provide insights through a web interface

Skills You Will Gain

AI Agent Development
Retrieval-Augmented Generation (RAG)
Azure OpenAI Integration
Microsoft Foundry Agent Service
Python Backend Development
FastAPI Web Apps
Real-Time Web Integration
Cloud Deployment on Azure

Why This Project Matters

Insurance organizations are rapidly adopting AI to automate claim processing and reduce fraud losses.


This project shows how to build enterprise-grade AI systems, not just experiments.


SmartClaims becomes your portfolio-ready proof of real AI engineering skills.

What our learners Say

Don’t just take our word for it—hear from learners who’ve successfully transitioned into high-paying tech roles after joining us.

© Copyright K21 Academy – All Rights Reserved