Primary operating owner
Head Safety; Fleet Operations; HSE
P34 · Representative solution case · Logistics / Industrial / Insurance
Video Telematics, ADAS & Driver Safety
Can you identify and coach the riskiest driver-route combinations before the next incident?
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
Unsafe driving and incidents are reviewed after the fact, with limited context or coaching closure.
Economic decision
COO; EHS Director; Risk Head
Technical influence
Telematics; Dashcam; AI/Video; Legal
Why action becomes urgent
Fatal/major incident, insurer mandate, HSE audit, fleet tender, high claims, hazardous-goods contract.
02 · Before and after
Change the operating model, not only the interface
Fragmented context and delayed action
Unsafe driving and incidents are reviewed after the fact, with limited context or coaching closure.
- 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
AI dashcam/MDVR, ADAS/DMS events, video evidence, harsh-driving analytics, risk scoring, coaching workflow and journey risk integration.
- 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
Head Safety
Own and govern
Fleet Operations
Decide and coordinate
HSE
Decide and coordinate
COO
Decide and coordinate
EHS Director
Execute and verify
Risk Head
Execute and verify
Telematics
Execute and verify
Dashcam
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
Which events matter? What is incident/claim baseline? Who reviews video and closes coaching? What privacy rules apply?
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
8-week cohort with calibrated events, evidence workflow, driver risk score and coaching cycle.
Scale and continuously improve
Operationalise the model through Device + per-vehicle/month SaaS + managed review option., 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
Event precision accepted; coaching SLA achieved; risky events/1,000 km trend improves; privacy/security passed.
Dashcam / Video Telematics
AI video, ADAS/DMS events and evidence
Product detailsTraffic, ETA & Road Events
Live/historical traffic, ETA and safety/road events
Product detailsClarityX Location Analytics
Market, territory, network and spatial decision analytics
Product detailsADAS/HD & Safety Data
Lane, road attribute, risk and predictive horizon data
Product details06 · Outcome and evidence
Make the value claim measurable before scaling
Bounded proof
8-week cohort with calibrated events, evidence workflow, driver risk score and coaching cycle.
- Confirm the baseline and decision scope: Which events matter? What is incident/claim baseline? Who reviews video and closes coaching? What privacy rules apply?
- Use representative and, where approved, customer data in the configured workspace
- Review measurable success with the operating and economic owners: Event precision accepted; coaching SLA achieved; risky events/1,000 km trend improves; privacy/security 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 Video Telematics, ADAS & Driver Safety into your operating context
Bring the baseline, workflow, users, data and success criteria. Mappls will shape a bounded proof and production path.