For years, insurance companies have invested heavily in chatbots—simple, rule-based systems designed to handle basic customer inquiries, answer FAQ questions, and occasionally direct customers to human agents. These early chatbots represented the first wave of artificial intelligence in insurance, offering marginal improvements in response times but often frustrating customers with limited capabilities and scripted interactions.
But something fundamental is changing in 2025. Insurance companies are moving beyond these primitive chatbots toward agentic AI—autonomous systems that make independent decisions, execute complex workflows, and adapt to novel situations without human intervention. Unlike traditional chatbots that follow predetermined decision trees, agentic AI systems combine artificial intelligence underwriting company capabilities, underwriting technology, and real-time data integration to handle multifaceted insurance operations with remarkable sophistication.
This shift represents one of the most profound transformations in insurance & technology since the digital revolution began. According to insurtech insights, 76% of insurance companies have already implemented generative AI capabilities, with agentic AI adoption accelerating rapidly across underwriting, claims processing, and customer service operations. Yet many insurers, particularly Brokers & MGAs and mid-market carriers, remain uncertain about what agentic AI actually means and how it differs from the chatbots they've deployed.
This blog explores the evolution from basic chatbots to autonomous agentic AI systems, examines the operational advantages they provide, and explains why this transition is essential for insurers seeking efficiency, competitive advantage, and sustainable growth in the rapidly evolving insurance technology landscape.