Baseline
Agree the current volume, time, cost, failure, risk or revenue metric before implementation.
P41 · Automotive, Navigation & Mobility
Motor risk and claims decisions lack continuous driving, road and location context, while assistance dispatch is slow.
Use it in Mappls Pro
Review ADAS and driver-monitoring events, verify AI video, reconstruct incidents, coach drivers and track fleet safety improvement. Use a one-click demo profile, enter as Safety manager, Incident reviewer, Driver coach or choose another application-specific role.
Customer and operating context
The executive question
Which claims or assistance costs would change if trusted trip and road context were available at first notice?
The Mappls response
Usage/driving-based telemetry, road-risk enrichment, FNOL location, crash/route evidence, surveyor/assistance dispatch, geofencing and claims analytics.
Mappls connects proprietary map and location intelligence with usage/driving-based telemetry, road-risk enrichment, fnol location, crash/route evidence, surveyor/assistance dispatch, geofencing and claims analytics. We start with one measurable workflow, prove the operating impact, and scale through reusable data, APIs and SaaS rather than a one-off implementation.
Value and ROI hypothesis
Better pricing and risk selection; lower claims leakage and cycle time; faster assistance; higher engagement.
Agree the current volume, time, cost, failure, risk or revenue metric before implementation.
Measure data fit, workflow completion, coverage, adoption and decision speed during the proof.
Translate the operating improvement into revenue, cost, risk, service or asset-utilisation impact.
Use agreed success criteria to choose production scope, ownership and commercial model.
Departments and operating ownership
Owns the business or mission outcome and defines where Insurance Telematics, Risk & Claims creates measurable value.
Translates the desired outcome into product, service, workflow and adoption requirements.
Connects users, operational data and day-to-day decisions so the capability becomes part of real work.
Provides the data, integration, security and governance foundation required for trusted production use.
Measures performance, risk, compliance and continuous improvement after deployment.
Programme readiness
Proof of value
Opt-in policy/fleet cohort with driver score and one FNOL/assistance workflow.
Opt-in policy/fleet cohort with driver score and one FNOL/assistance workflow.
Signal quality and score stability accepted; response/cycle-time lift demonstrated; compliance/consent passed.
Why Mappls
Map, road-risk, IoT, video and field-workflow stack can connect policy, trip, incident and response.
Market, territory, network and spatial decision analytics
Product detailsAI video, ADAS/DMS events and evidence
Product detailsOrder, vehicle, load, route, dispatch, ePOD and freight workflows
Product detailsVehicle, mobile and cloud location/telematics journeys
Product detailsCommercial path
Per-policy/vehicle SaaS + device + claims/dispatch API.
Expansion path
Camera/sensor-only systems lack horizon context and consistent road intelligence, while fleets and agencies need actionable risk maps.
ExploreUnsafe driving and incidents are reviewed after the fact, with limited context or coaching closure.
ExploreWeak address/location evidence drives onboarding friction, fraud, inefficient collections and poor branch/agent planning.
ExploreFleet location, utilisation, trip, delay and exception data are fragmented across devices and operators.
ExploreYour outcome, powered by Mappls
We’ll help define the smallest proof that can answer the production decision with credible evidence.