Artificial intelligence has been making waves in the insurance industry for years. Many companies started by automating finance tasks, but now AI is deeply embedded in everyday operations. Instead of just being a niche tool, AI is used directly where insurers spend most of their time and money—like handling claims, underwriting, and managing complex programs.

Streamlining Claims with AI

Claims processing is a natural area for AI to make an impact because it involves a mix of paperwork and human judgment, often under tight deadlines. For example, Allianz has developed an AI-powered assistant called Insurance Copilot. This tool helps claims handlers by automating repetitive tasks and gathering relevant information quickly from various systems.

The Copilot starts by collecting data and summarizing claim and policy details so staff can focus on the essentials. It then analyzes documents, interprets agreements, and compares claims with policy terms. If there are discrepancies, the AI flags them and suggests next steps. After a human makes a decision, the tool even helps draft context-aware emails to speed up communication.

Using these AI tools means faster turnaround times, smoother settlements, and less frustration for both staff and customers. Allianz also points out that AI can help reduce unnecessary payouts by highlighting important details that might be overlooked, which improves the company’s bottom line.

Turning Complex Documents into Actionable Insights

Good underwriting depends on the quality of information available. Aviva is using AI to help underwriters review lengthy medical reports from general practitioners. They have developed an AI-powered summarization tool that uses generative AI to analyze and condense these reports, which can be dozens of pages long.

This technology allows underwriters to make quicker, better-informed decisions without reading through every detail. It’s important to note that the AI does not replace the underwriter; instead, it provides a summarized version for review. Underwriters still make the final call, which helps ensure accuracy and maintain oversight.

Aviva emphasizes that their AI tools undergo rigorous testing and controls to ensure reliability. This approach helps speed up the underwriting process while keeping high standards for decision quality and auditability.

Overall, AI is helping insurers become more efficient, reduce costs, and improve customer experience. By automating repetitive tasks and turning complex data into clear insights, insurance companies can operate more smoothly and competitively in today’s digital world.

Inspired by

• https://www.artificialintelligence-news.com/news/insurance-ai-use-operational-differences-experienced-by-the-big-players/

Sources

• allianz.com
• zurich.com
• aviva.com
• ai-expo.net
• techexevent.com