Stop Claims Leakage Detection in 2025: What You Need to Know

Claims leakage detection is the process of spotting and stopping errors or mistakes that cause insurers to lose money when paying claims.

When an insurance company processes claims, sometimes small errors like incorrect payments, missed discounts, or fraud slip through. Claims leakage detection helps find these gaps, so the company doesn't lose more money than necessary. This is important because even tiny leaks can add up to big costs over time, impacting the whole business.

Understanding claims leakage detection involves looking at how data and workflows combine to catch problems early. Common causes of leakage include:

• Incorrect claim coding

• Duplicate payments

• Fraudulent claims

• Delayed or missing claim updates

Detecting these issues usually means analyzing claim data closely, comparing it to expected patterns, and flagging anything unusual. The detection process can get pretty detailed, using algorithms and automation to reduce human error and speed up reviews.

For example, imagine an insurer notices a pattern of duplicate payments on certain claims. A solid claims leakage detection system would catch these duplicates automatically, alert the team, and prevent a payment error before it happens again.

More advanced setups integrate AI technology to handle claim intake, updates, and follow-ups without manual work. One such solution to improve claims leakage detection is Strada.

By using Strada’s phone AI agents and automated workflows, insurers can manage claim conversations, trigger next steps instantly, and receive real-time alerts on potential leakage risks. This makes detection faster, more reliable, and less dependent on manual review, reducing missed opportunities and saving money by keeping every claim process smoother and more consistent.