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The claim arrived on a Monday. Half of the medical records were in Italian. A hiking accident in the Dolomites. Emergency care in Italy, follow-up at home. The Italian records describe the first hours after the fall: the helicopter transport, the CT scan, the first diagnosis. In other words, the part of the story the causation question depends on. Normally this is where the claim slows down. A certified translation takes days. Public translation tools are not an option for medical records. So the pages wait. In Mavera DSS Insights, the records are read in the language they arrive in. The summary, the timeline and the answers are in your language, and every answer links back to the original page, in Italian, so the handler can see exactly what the record says before deciding anything. No translator. No waiting. The same case, just readable. How does your team handle medical records in a language nobody on the floor speaks?

A claims system can tell you where a case is. It cannot tell you what the medical records say. That gap is where bodily injury claims get slow. The documentation is there, often hundreds of pages of it, but understanding it is manual work. Someone reads, someone summarises, someone decides whether a specialist needs to look. Mavera DSS Insights is built for that gap. It reads the documentation and gives the claims handler a structured picture of the case from the start: the medical summary, the timeline, the key questions on causation and complexity, with references back to the records for every answer. The AI does the first read. The claims handler weighs it, and brings in a specialist when the case calls for it. The decision is always theirs. Better decisions for every bodily injury claim, starting with understanding what is actually in the file. More about Mavera DSS Insights: https://hubs.ly/Q04ChdsB0

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"No previous problems," says the claim form. A physiotherapy record from 2023 says something else. Same ankle, a football injury, three months of rehab. That does not have to mean fraud. People forget. But it changes the causation question, and it changes what the accident can be said to have caused. To find that discrepancy, the claims handler has to read years of medical history, often spread across several files and sometimes in more than one language. It takes time, and it is easy to miss. Mavera DSS Insights flags it as a risk indicator when the claim opens: the same body part mentioned before the accident, with a link to the exact page. The handler reads the source and decides what it means for the case. When every handler sees the same thing, the decision no longer depends on who happened to pick up the file.

What if the medical questions were answered before you opened the claim? Does the documentation support a link between the accident and the injury? Any earlier symptoms in the same body part? Is anything referenced but missing? Mavera DSS Insights works through these the moment the documentation is uploaded. Each answer comes with the reasoning behind it and a reference to the page where it was found. Have a question of your own? Ask the claim in plain language. The answers come from the documentation. The decision comes from the claims handler. The references are there so you can check every step. AI in claims is moving from helping you understand the case to helping you assess it. This is what that looks like. More about Mavera DSS Insights: https://hubs.ly/Q04xy1YP0

Not every claim needs a medical advisor. Most claims managers know this, but it is hard to act on. Without structured decision support, the safe choice is to send the case on. So medical advisors spend time on questions a claims handler could have answered, and the complex claims wait in the same queue. Mavera DSS gives claims handlers AI-supported answers on causation, complexity and disability from the moment a claim opens, with the reasoning and references behind each one. The handler decides. When a case does need specialist expertise, it goes to a medical specialist in one click, with the documentation already prepared. You do not end up with fewer specialists. You end up with specialists working on the cases where they make the biggest difference, and shorter turnaround on the rest. Where does your team draw the line today between desktop assessment and referral?