Why Insurance-Native AI Wins Over General Solutions
By Sanjay Malhotra, CEO, Brisc AI — As generative AI continues to transform industries, one thing has become clear: insurance is different. While ChatGPT, Gemini, and Claude can generate content and answer questions with impressive fluency, they weren’t built to automate insurance submissions, reconcile bordereaux files, or triage claims. The needs of carriers, MGAs, and reinsurers go beyond text generation. They require accuracy, compliance, auditability, and deep operational context. Generic AI introduces too much risk and too little return. The future of AI in insurance lies with insurance-native AI solutions designed to understand the language, logic, and nuance behind every policy, claim, and decision. Key Takeaways Insurance-native AI is purpose-built to handle the complexity, regulation, and workflows unique to insurance. Generic AI lacks context and often hallucinates, posing significant risk in compliance-driven environments. Vertical, agentic AI platforms deliver faster ROI, cleaner data, and more trustworthy outputs by acting within insurance context. What Is Insurance-Native AI? Insurance-native AI refers to artificial intelligence tools and agentic systems built specifically for the insurance industry. Unlike general-purpose AI trained on broad datasets, these systems are fine-tuned with insurance-specific context, using verified data, workflows, and domain rules to guide outputs. They operate within the real-world...