Baseline
Measure current volume, time, cost, failure, service, risk and revenue at the workflow level.
P41 · Implementation blueprint · Mappls Video Safety Centre
Insurance Telematics, Risk & Claims
Motor risk and claims decisions lack continuous driving, road and location context, while assistance dispatch is slow.
01 · Target operating outcome
Define the change before choosing the technology
Which claims or assistance costs would change if trusted trip and road context were available at first notice?
Better pricing and risk selection; lower claims leakage and cycle time; faster assistance; higher engagement.
Target
Signal quality and score stability accepted; response/cycle-time lift demonstrated; compliance/consent passed.
02 · Solution architecture
One connected flow from source data to operational action
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.
Data foundation
Map, customer, asset, sensor and enterprise data
Intelligence services
Search, routing, GeoAI, rules and spatial models
Role workflows
Risk feed · Video review · Incidents · Coaching · Safety score
Decision and outcome
Better pricing and risk selection; lower claims leakage and cycle time; faster assistance; higher engagement.
03 · Users and RBAC
Give every stakeholder the view and actions they actually need
Sponsor / owner
Motor Product
Sponsor / owner
Underwriting
Manager / analyst
Claims
Manager / analyst
Assistance
Manager / analyst
Chief Underwriting/Claims Officer
Operator / specialist
Actuarial
Operator / specialist
Telematics
Operator / specialist
Data Science
Operator / specialist
Legal
Operator / specialist
Safety manager
The shared Mappls identity is separated from application membership. A user can be an administrator in one app, an analyst in another and a viewer elsewhere.
04 · Data and integration
Connect the minimum information needed to make the workflow real
Location foundation
Map, road, address, place, imagery, boundary and terrain layers appropriate to the decision.
Enterprise context
Customer, order, asset, vehicle, incident, task, sensor or transaction records from systems of record.
Integration pattern
APIs, SDKs, secure batch, streaming events, webhooks, files or on-premise integration depending on architecture.
Security and control
Least-privilege RBAC, audit events, encrypted transport, tenant separation and cloud, private or offline deployment.
Recommended Mappls building blocks
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 details05 · Proof of value
Use a bounded implementation to answer the scale decision
Opt-in policy/fleet cohort with driver score and one FNOL/assistance workflow.
- Confirm data, geography, users and workflow: What consent and policy design apply? Which driving signals and claims outcomes can be linked?
- Configure Mappls Video Safety Centre for the selected role set
- Run baseline and intervention scenarios with real stakeholder reviews
- Evaluate agreed criteria: Signal quality and score stability accepted; response/cycle-time lift demonstrated; compliance/consent passed.
- Package production scope and commercial model: Per-policy/vehicle SaaS + device + claims/dispatch API.
06 · Rollout and operating model
Move from proof to governed adoption
Week 0–2
Discover
Baseline, data, stakeholders, security and architecture
Week 3–6
Configure
Data connection, role workflows, rules and dashboards
Week 7–10
Prove
Live users, measurement, change support and decision review
Production
Scale
Phased geographies, integrations, service model and continuous improvement