AI-Powered Need Analysis Module: Gene AI in LINAT

The AI-Based Need Analysis Tool (LINAT) is built with Gene AI, a highly specialized Generative AI-powered module that enhances insurance need analysis, policy recommendations, and user decision-making. This module ensures that every recommendation is tailored, data-driven, and backed by AI insights.

1. Overview of Gene AI in LINAT

Objective:

Gene AI is designed to interpret user financial data, analyze risk factors, and generate accurate insurance recommendations dynamically.

Core Functions:

• Advanced AI-Based Need Analysis – Uses Gene AI to analyze user inputs and financial status.
• Personalized Policy Matching – Maps best-fit insurance plans using ML and NLP techniques.
• Real-Time Financial Simulations – Generates premium projections, risk assessments, and coverage suitability reports.
• Dynamic Data Processing – Continuously updates recommendations based on market trends and user life changes.
• Decision Support System – Provides AI-backed insights on insurance investment strategies.

2. Gene AI Architecture in LINAT

AI Model Stack:

• GPT-4 API + Custom Fine-Tuning → Generates contextual insurance recommendations.
• Transformer-Based NLP Engine → Understands user intent, goals, and financial concerns.
• Retrieval-Augmented Generation (RAG) → Pulls real-time policy data from APIs and generates AI-powered answers.
• Machine Learning (XGBoost, Random Forest) → Predicts best insurance plans based on risk analysis.

Workflow: