Claims and First-
Notice-of-Loss Telematics
A telematics claims layer turns a crash event into a clean first notice of loss, attaches the evidence, and pushes it straight into the insurer claims system. Scope covers the event pipeline, the evidence capture, the fraud signals, and the insurer API integration.
THE CHALLENGEThe Claim Starts Late and Arrives Empty
Most motor claims still begin with a phone call days after the event, with no objective record of what happened, which drives up cycle time, leakage, and fraud. The crash data and dashcam clips that could settle the claim sit on a device and never reach the adjuster. A claims layer captures the evidence at the moment of impact, automates first notice of loss, scores fraud signals, and delivers a complete, structured claim into the insurer system over their own API.
Built within the Telematics and GPS Tracking ecosystem, and frequently paired with Usage-Based Insurance Telematics.
WHAT'S INCLUDED
From Event to Settled Claim
FNOL Automation
A confirmed crash event becomes a structured first notice of loss the moment it happens, pre-filled with time, location, severity, vehicle, and policy context. The adjuster opens a populated file instead of starting a phone call from scratch days later.
Evidence Capture
The objective record attaches to the claim: high-rate crash data and reconstruction, plus dashcam clips bracketing the impact where a camera is fitted. Evidence travels with the FNOL so the decision is made on facts, not recollection.
Claims Integration
The telematics event maps onto the insurer claims data model, so vehicle, policy, severity, and evidence land in the right fields of the claims management system rather than as an attachment someone has to re-key.
Insurer API
Integration to the insurer or TPA runs over REST and webhook APIs, including the carrier handshakes and authentication their platform requires. The claim flows machine to machine, with delivery confirmation and retry, not by email.
Fraud Signals
Fraud indicators are derived from the event data, such as severity that does not match the reported damage, staged-collision motion signatures, and inconsistent location or timing. These signals are scored and flagged so suspect claims are triaged early.
Audit and Traceability
Every claim carries a tamper-evident trail from device event to insurer receipt, with signed timestamps and the original high-rate trace retained. When a claim is disputed, the evidence is reproducible rather than anecdotal.
WHAT IT CHANGES
The Same Claim, Handled Differently
A telematics claims layer changes the economics of the claim at three points: how fast it starts, how well it is evidenced, and how cleanly it is paid. The pipeline is designed so each of those improves without adding work for the claimant.
Faster Cycle Time
Automated FNOL with evidence attached means triage and assignment happen in minutes, not days, so the claim moves before details are forgotten and the file is complete from the start.
Lower Leakage
An objective record of severity and circumstances reduces over-payment, inflated injury, and disputed liability, because the facts are on file rather than reconstructed from competing statements.
Earlier Fraud Catch
Scored fraud signals surface staged and inflated claims at FNOL, when intervention is cheapest, instead of after a payout that is hard to claw back.
HOW IT WORKS
Capture, Assemble, Deliver
Capture the Event
The in-vehicle device captures the crash at high rate and, where fitted, the dashcam clips around it. The event uploads over MQTT with TLS, with store-and-forward so a link dropped by the impact does not lose the evidence.
Assemble the Claim
The backend builds a structured FNOL, attaches the reconstruction and clips, enriches it with policy and vehicle context, and runs the fraud-signal scoring. The output is a complete, validated claim record.
Deliver to the Insurer
The claim is pushed to the insurer or TPA over their REST and webhook APIs with authentication, delivery confirmation, and retry, mapped onto their claims data model so it lands ready to work.
STANDARDS AND ENGINEERING
Built for Insurer-Grade Data Handling
Secure and Compliant
Personal and claim data is encrypted in transit over TLS and at rest, with retention and access controls aligned to data-protection obligations. The pipeline is designed to fit insurer security review.
Evidence Integrity
Crash data and clips are signed and timestamped end to end, so the chain from device to insurer is tamper-evident and the evidence holds up in a disputed or litigated claim.
Carrier Interoperable
Built to map to the insurer or TPA claims model and integrate over their REST and webhook APIs, so the claim flows machine to machine into the systems carriers already run.
FAQ
Common Questions
How does automated first notice of loss actually work?
When the in-vehicle device confirms a crash, the backend builds a structured FNOL automatically, pre-filled with time, location, severity, vehicle, and policy context, and delivers it to the insurer over their API. The claim starts at the moment of impact with a populated file, instead of a phone call days later from a memory of events.
What evidence gets attached to the claim?
The objective record of the event is attached: high-rate crash data and reconstruction showing approach speed, impact direction, and severity, plus dashcam clips bracketing the impact where a camera is fitted. Evidence travels with the FNOL so the adjuster decides on facts rather than recollection.
How does it integrate with your claims system?
The telematics event maps onto your claims data model and integrates over your REST and webhook APIs, including the authentication and handshakes your platform requires. The claim lands in the right fields of your claims management system with delivery confirmation and retry, machine to machine rather than by email or re-keying.
What fraud signals can the system detect?
Indicators derived from the event data are scored, such as crash severity that does not match the reported damage, motion signatures consistent with staged collisions, and inconsistencies in location or timing. These are flagged at FNOL so suspect claims are triaged early, when intervention is cheapest.
Will the evidence hold up if a claim is disputed?
Yes. Crash data and clips are signed and timestamped end to end, and the original high-rate trace is retained, so the chain from device to insurer is tamper-evident and the reconstruction is reproducible. That makes the evidence defensible in a disputed or litigated claim rather than anecdotal.
Does this work with your existing crash detection devices?
The claims layer is built to consume crash events from a dedicated crash detection telematics device or from a compatible device you already deploy. As long as the device delivers a high-rate event, it can be ingested, assembled into the claim, and delivered to your claims system over the insurer API.
Ready to Automate Claims and FNOL?
Share your claims system, your carrier integrations, and the devices in your vehicles to get a tailored approach showing how automated FNOL, evidence capture, and fraud signals cut cycle time and leakage from the first notice.
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