Pricing Pipeline Architect

Welcome to the iNFLUXUS Pricing Pipeline Architect

This 'Human-as-architect' AI harness demonstrates a modern approach to actuarial pricing: combining human-defined data and configuration with AI-driven code generation. By abstracting the heavy lifting of Python development, actuaries can focus entirely on pricing logic, methodology, and instructions.

📖 How to Use This App

  • 1. 📋 Data & Policy Setup: Define your base policy parameters, layers, and exposure data. You can use the AI Assistant to format your tables, and toggle between Individual or Aggregated claims. Lock the data when you are ready.
  • 2. ⚙️ Algorithm Builder: Select the steps required for your pricing pipeline. Provide specific text instructions for each step (e.g., "Calculate premium by multiplying base rate by exposure"). The LLM will sequentially write, test, and validate the pure Python code in real-time.
  • 3. 🧮 Code Inspector: Review the generated code step-by-step, inspect the exact prompts used to instruct the AI, and download the full, validated Python script for offline use.
  • 4. 🛠️ Configuration & Helpers: Tweak the baseline instructions that guide the AI's behavior (via a Form or JSON editor). You can also define custom Python helper functions, constants, or LDF tables that the AI can call during execution.

🚀 Enterprise & Production Deployment

This sandbox is a demonstration of AI's potential in actuarial workflows. If you are interested in deploying a production-ready version, integrating this engine directly with your internal data warehouses, or customizing it to fit your proprietary business logic and underwriting guidelines, let's connect.

✉️ Get in touch: hello@influxus.dev

⚠️ Disclaimer: All Python code in this application is generated dynamically by a Large Language Model (LLM). While validation steps are in place, the generated algorithms must be carefully reviewed, tested, and audited by a qualified actuary before being applied in any commercial, financial, or production environment. iNFLUXUS assumes no liability for the accuracy, compliance, or financial outcomes of these generated models.