How an insurance estimates company scaled from 2 cases per week to 5 per day with a teachable multimodal AI employee

A growing US-based insurance estimate business, operating in all 50 states, struggled to scale the process of reviewing the increasing volume of customer insurance submissions. The manual workflow limited throughput and slowed response times.

// Solution

I built a custom AI agent on their entire estimation process, giving it multimodal capabilities to handle both documents and images, along with parallel processing to handle multiple requests at once. This AI “employee” replicates human judgment across the workflow and is fully teachable for future improvements. Because the process involves multiple micro-decisions that can have substantial impact, the agent provides detailed explanations of its rationale behind each result, ensuring transparency and trust in its outputs.

// The Impact

The AI agent increased throughput from 2 estimates per week to 5 per day, dramatically improving operational efficiency and scalability while reducing manual workload.