Overview

Earnix Copilot is a generative-AI digital agent embedded in the Earnix platform that helps actuarial, pricing and underwriting teams work faster and smarter by answering workflow questions, recommending best practices, accelerating onboarding, and generating runnable Python code to automate data import, simulations, model building and deployment. It is built with governance and security for regulated insurance and banking environments and is intended to boost productivity, reduce time-to-market and improve decision consistency.

Features and Capabilities

• Core Function: Earnix Copilot acts as a generative-AI digital agent integrated into the Earnix platform to guide pricing, rating and underwriting workflows, reduce manual steps and speed task completion.
• Knowledge & Onboarding: Provides natural-language answers and step-by-step coaching (e.g., “How do I build a GLM?”, “How to run a what-if pricing simulation?”) to onboard new users and reduce documentation search.
• Advise & Best Practices: Advise: Recommends best practices and role-specific guidance for deploying pricing changes and underwriting decisions to ensure governance and reduce errors.
• Code Generation: Automate: Generates Python code snippets for data import, scenario generation, model training and model deployment that users can adapt to automate repetitive tasks and simulations.
• Decisioning & Explainability: Explain: Surfaces explainable recommendations tied to Earnix decisioning and modeling components so users can understand and trust suggested actions.
• Workflow Integration: Integrate: Works directly within Earnix workflows for pricing, rating and underwriting, reducing context switching and accelerating time-to-market for product and price changes.
• Security & Governance: Govern: Designed for regulated industries and incorporates governance controls while aligning recommendations with organizational knowledge and compliance requirements.
• Use Cases: Use Cases: Common scenarios include onboarding and training, model-building assistance such as GLMs, running what-if pricing simulations, generating automation scripts and providing deployment checklists.
• Formats & Delivery: Deliver: Provided as a built-in part of Earnix platform modules and resources and accessed via the platform interface through a conversational assistant.