A chip in your windshield, left unattended, slowly grows into something bigger. Every bump in the road compounds it, until one day the windshield gives out and the whole thing needs replacing, expensive and inconvenient. A manual claims file behaves the same way. It lands on your handler's desk looking complete, but the gaps compound from there: time lost chasing what's missing, details that drift from the facts. Liability hardens, the reserve sets on a guess, and every week that passes makes it more expensive to put right.
A connected claim isn't a new category of data. It's the data that already exists, doing the job it was always capable of doing.
Telematics records what the vehicle was doing before, during, and after impact: speed, braking force, acceleration, g-force at the moment of collision. Not an approximation. Not a driver's recollection. A timestamped record of what happened.
Dashcam footage shows what telematics can't: context. Was the driver distracted? Did the third party run the light? Was this unavoidable? Video answers the liability question that sensor data alone can only approximate.
GPS fixes the incident to an exact location and time, corroborating or contradicting the reported account before a claims handler has made a single call.
These three sources exist in most commercial fleet incidents already. The problem isn't availability. The systems producing this data were never designed to talk to a claims platform, so when a claims handler opens a file, the information is somewhere else.
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When a claims handler opens a file without this data, the consequences are concrete.
Reserves get inflated. Without objective incident data, reserving is based on what might have happened, not what did. That uncertainty sits in the reserve until the claim develops, and it distorts the picture across the book.
Litigation takes hold. Liability established at FNOL with objective data is difficult to contest. Liability established three months later, after opposing counsel has built their narrative, is a different conversation. The window between incident and attorney involvement is where telematics data either does its job or it doesn't.
Fraud gets through. A staged accident, an inflated damage claim, a false account of events: all harder to sustain against a timestamped record of speed, impact angle, and braking pattern. Without it, the file relies on statements and photos that can be shaped.
Each of these is a downstream consequence of data that existed at the moment of impact and never reached the person who needed it.
At the moment of impact, the vehicle has already recorded what happened. A connected claim starts there.
Telematics surfaces the incident: speed, g-force, braking sequence. Dashcam captures the event. GPS locks the location. Within minutes, the core facts exist in structured, objective form.
Xtract pulls all of this directly into your claims system at FNOL, not as an attachment to review later, but as the foundation the file is built on. Driver statements, witness accounts, scene photos, weather data, and police reports add to that foundation. Your claims handler opens a file and already knows what happened, not what someone said happened.
The shift to connected claims changes which numbers matter. Carriers running connected FNOL programmes are tracking three things: how quickly liability can be determined from first report, how completely FNOL data fields are populated when the file hits the claims handler's desk, and how accurately the initial liability assessment holds through to final settlement.
Those three metrics connect directly to the combined ratio problem. Faster liability determination closes the window for opposing narratives to form. Complete FNOL data reduces the reserve inflation that comes from uncertainty. Accurate initial assessments mean fewer files that develop worse than expected.
If the data exists and it's not reaching your claims handlers, the combined ratio reflects that.
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