Baseline
Measure current volume, time, cost, failure, service, risk and revenue at the workflow level.
P34 · Implementation blueprint · Mappls Video Safety Centre
Unsafe driving and incidents are reviewed after the fact, with limited context or coaching closure.
01 · Target operating outcome
Can you identify and coach the riskiest driver-route combinations before the next incident?
Fewer preventable incidents; lower claims/downtime; better coaching completion and evidence availability.
Measure current volume, time, cost, failure, service, risk and revenue at the workflow level.
Event precision accepted; coaching SLA achieved; risky events/1,000 km trend improves; privacy/security passed.
02 · Solution architecture
AI dashcam/MDVR, ADAS/DMS events, video evidence, harsh-driving analytics, risk scoring, coaching workflow and journey risk integration. Mappls connects proprietary map and location intelligence with ai dashcam/mdvr, adas/dms events, video evidence, harsh-driving analytics, risk scoring, coaching workflow and journey risk integration. We start with one measurable workflow, prove the operating impact, and scale through reusable data, APIs and SaaS rather than a one-off implementation.
Map, customer, asset, sensor and enterprise data
Search, routing, GeoAI, rules and spatial models
Risk feed · Video review · Incidents · Coaching · Safety score
Fewer preventable incidents; lower claims/downtime; better coaching completion and evidence availability.
03 · Users and RBAC
Head Safety
Fleet Operations
HSE
COO
EHS Director
Risk Head
Telematics
Dashcam
AI/Video
Legal
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
Map, road, address, place, imagery, boundary and terrain layers appropriate to the decision.
Customer, order, asset, vehicle, incident, task, sensor or transaction records from systems of record.
APIs, SDKs, secure batch, streaming events, webhooks, files or on-premise integration depending on architecture.
Least-privilege RBAC, audit events, encrypted transport, tenant separation and cloud, private or offline deployment.
AI video, ADAS/DMS events and evidence
Product detailsLive/historical traffic, ETA and safety/road events
Product detailsMarket, territory, network and spatial decision analytics
Product detailsLane, road attribute, risk and predictive horizon data
Product details05 · Proof of value
8-week cohort with calibrated events, evidence workflow, driver risk score and coaching cycle.
06 · Rollout and operating model
Baseline, data, stakeholders, security and architecture
Data connection, role workflows, rules and dashboards
Live users, measurement, change support and decision review
Phased geographies, integrations, service model and continuous improvement