AI-powered FNOL claim extraction and routing system built with React, FastAPI, and Python for automated insurance claim validation, fraud detection, and workflow classification.

Autonomous FNOL insurance claims processing agent that extracts key claim fields from TXT/PDF documents, detects missing or inconsistent information, classifies claims, and recommends routing decisions with JSON output and plain-English reasoning.

AI-powered FNOL insurance claims intake platform — Rasa chatbot, .NET 10 microservices, React, PostgreSQL, RabbitMQ, Docker

AI-powered insurance automation platform with dual-agent workflows for FNOL claims intake and policy inquiries. Features a Human-in-the-Loop adjuster dashboard, sentiment escalation detection, and RAG-based policy Q&A built with React, Express, PostgreSQL, and OpenAI.

GCC Motor FNOL Starter Kit for Camunda 8 – BPMN, DMN, Forms & Java backend for motor claims automation in the Gulf region.

Guidewire Documentation.

Lightweight Python agent for processing FNOL documents and routing insurance claims.