SUPERAGENT AI releases automated quoting agent
SUPERAGENT AI has released what it calls the world's first quoting AI agent, designed to automate one of the industry's most complex tasks. The technology raises questions about the future role of traditional customer service representatives (CSRs). This launch underscores the trend of using AI to automate customer-facing workflows in insurance.
- The manual insurance quoting process can take agents over 45 minutes per customer, a significant time investment that SUPERAGENT AI's automated agent reduces by 95%. This "quoting bottleneck" is a long-standing issue in the industry, involving tedious data collection and navigating multiple carrier portals. - Slow quote delivery is a major factor in losing potential customers, with studies indicating that a 5-minute response time can generate 10 times more positive responses than a 10-minute one. The insurance industry sees 84% of prospects abandon their quotes, the highest rate across all industries. - The Quoting AI Agent is a key component of SUPERAGENT AI's larger vision to create a "Fully Autonomous Insurance AI Agent" by the first quarter of 2026. This broader platform includes other AI agents for tasks like customer retention and inbound/outbound communications. - The global market for AI in insurance is projected to grow from $10.24 billion in 2025 to $13.94 billion in 2026, with some estimates suggesting it could reach nearly $50 billion by 2030. - SUPERAGENT AI's leadership team includes CEO Vlada Lotkina, a tech entrepreneur with a previous 8-figure exit, and CTO Vadym Shashkov, who has a decade of experience in AI and machine learning. - The official global launch for the Quoting AI Agent was set for February 11, 2026, with an early access waitlist available for agencies beforehand. - Beyond speed, the automated agent aims to improve data accuracy to 100%, a crucial factor as manual data entry is prone to errors that can lead to incorrect risk assessments. - The development of this technology is set against a backdrop where many insurers still rely on outdated systems like spreadsheets for core functions, creating significant data management challenges that can hinder AI adoption.
