Case Study:
Transforming Insurance Risk Analysis With AI

How one insurance firm cut loss run analysis time from hours to minutes with Kolena’s AI-powered automation.

AI Is redefining insurance risk analysis and this firm proves It.

Loss run analysis has long been one of the most manual, error-prone processes in underwriting. A mid-size insurance and risk advisory firm partnered with Kolena to change that — transforming a tedious, hours-long review into an automated, scalable workflow that delivers faster quotes, cleaner data, and measurable ROI.

This case study reveals:

• ⏱ Time savings that matter: Loss run reviews dropped from hours to minutes — with zero compromise on accuracy.

• 💼 No new hires required: The firm expanded its client base without off-shoring or additional staff.

• 📊 Standardized insights: Automated data extraction and categorization across PDFs, spreadsheets, and emails.

• 🔄 Operational efficiency: Manual bottlenecks eliminated, freeing underwriters to focus on strategy, not spreadsheets.

• 🚀 Scalable growth: AI-driven consistency empowered the team to handle more accounts — faster and smarter.

Download now - see how Kolena’s Loss Run Analysis Agent turned risk data into real business growth.