Primary operating owner
Motor Product; Underwriting; Claims; Assistance
P41 · Representative solution case · Insurance / Automotive / Fleet
Insurance Telematics, Risk & Claims
Which claims or assistance costs would change if trusted trip and road context were available at first notice?
Evidence distinction: this is a representative solution case constructed from the source requirements and Mappls delivery pattern. It is not presented as a named-customer outcome unless a separate verified customer story is explicitly linked.
01 · Operating context
The decision environment and the problem to change
Motor risk and claims decisions lack continuous driving, road and location context, while assistance dispatch is slow.
Economic decision
Chief Underwriting/Claims Officer
Technical influence
Actuarial; Telematics; Data Science; Legal
Why action becomes urgent
Telematics product launch, claims-cost pressure, fleet insurance, connected-car partnership, roadside-assistance review.
02 · Before and after
Change the operating model, not only the interface
Fragmented context and delayed action
Motor risk and claims decisions lack continuous driving, road and location context, while assistance dispatch is slow.
- Location, operational and enterprise data remain separated
- Stakeholders make inconsistent decisions from partial context
- Exceptions are found late and evidence is difficult to reconstruct
A governed location-aware decision loop
Usage/driving-based telemetry, road-risk enrichment, FNOL location, crash/route evidence, surveyor/assistance dispatch, geofencing and claims analytics.
- One role-aware workspace in Mappls Video Safety Centre
- Live context moves directly into the responsible workflow
- Every decision, scenario and outcome can be measured and audited
03 · Stakeholder experience
One shared system, different role moments
Own and govern
Motor Product
Own and govern
Underwriting
Decide and coordinate
Claims
Decide and coordinate
Assistance
Decide and coordinate
Chief Underwriting/Claims Officer
Execute and verify
Actuarial
Execute and verify
Telematics
Execute and verify
Data Science
Inside Mappls Pro, the same user can hold this role here and a different role in another application. Membership, saved runs and administration remain app-specific.
04 · Day-in-the-life journey
How the solution turns information into an operational result
Frame the operating decision
What consent and policy design apply? Which driving signals and claims outcomes can be linked?
Connect the location foundation
Bring the required map, address, road, place, imagery, asset, customer and operational data into a governed Video Safety workspace.
Act through role workflows
Risk feed, Video review, Incidents, Coaching, Safety score give each stakeholder the information, decision and action appropriate to their role.
Prove the intervention
Opt-in policy/fleet cohort with driver score and one FNOL/assistance workflow.
Scale and continuously improve
Operationalise the model through Per-policy/vehicle SaaS + device + claims/dispatch API., adoption governance, service measurement and a managed improvement backlog.
05 · Solution and data architecture
The Mappls capabilities behind the experience
Location foundation
Map, address, place, route, imagery, boundary and context layers
Operational context
Customer, asset, order, sensor, incident, task or transaction records
Application workflow
Risk feed · Video review · Incidents · Coaching · Safety score
Outcome loop
Signal quality and score stability accepted; response/cycle-time lift demonstrated; compliance/consent passed.
ClarityX Location Analytics
Market, territory, network and spatial decision analytics
Product detailsDashcam / Video Telematics
AI video, ADAS/DMS events and evidence
Product detailsLoad.ai / Transportation Management
Order, vehicle, load, route, dispatch, ePOD and freight workflows
Product detailsConnected Vehicle & Companion App
Vehicle, mobile and cloud location/telematics journeys
Product details06 · Outcome and evidence
Make the value claim measurable before scaling
Bounded proof
Opt-in policy/fleet cohort with driver score and one FNOL/assistance workflow.
- Confirm the baseline and decision scope: What consent and policy design apply? Which driving signals and claims outcomes can be linked?
- Use representative and, where approved, customer data in the configured workspace
- Review measurable success with the operating and economic owners: Signal quality and score stability accepted; response/cycle-time lift demonstrated; compliance/consent passed.
- Document data quality, adoption, security, service and scale findings
- Convert evidence into a phased production scope and accountable value plan
07 · Governance and scale
Operate the solution safely and sustainably
Identity and access
Server-enforced identity, least-privilege app membership, role-specific actions and auditable administration.
Data governance
Source lineage, quality thresholds, update cadence, retention, consent and controlled data sharing.
Operating governance
Named process owners, exception SLAs, escalation, change control and adoption measurement.
Value governance
Baseline, intervention and outcome metrics reviewed on an agreed cadence with accountable owners.
Your outcome, powered by Mappls
Put Insurance Telematics, Risk & Claims into your operating context
Bring the baseline, workflow, users, data and success criteria. Mappls will shape a bounded proof and production path.