Baseline
Measure current volume, time, cost, failure, service, risk and revenue at the workflow level.
P14 · Implementation blueprint · Mappls Asset Inspection AI
Mining Surveillance & Revenue Protection
Illegal extraction/transport, uncertain lease boundaries and disconnected permit, vehicle and imagery data cause revenue leakage and weak enforcement.
01 · Target operating outcome
Define the change before choosing the technology
Where is the largest gap between permitted quantity, measured extraction, stock and transported material?
Business case: recovered royalty/penalty, lower survey effort, reduced illegal movement and better production/stock reconciliation.
Target
Survey accuracy; variance detection accepted; alert precision; enforcement actionability; quantified revenue opportunity.
02 · Solution architecture
One connected flow from source data to operational action
Drone/DGPS survey, lease/stockpile GIS, volumetric/change analytics, RFID/GPS/CCTV integration, e-permit linkage, command centre and mobile enforcement. We reconcile what was permitted, what changed on the ground and what moved—so enforcement teams can act on evidence.
Data foundation
Map, customer, asset, sensor and enterprise data
Intelligence services
Search, routing, GeoAI, rules and spatial models
Role workflows
Asset risk · Imagery review · Inspection · Defects · Remediation
Decision and outcome
recovered royalty/penalty, lower survey effort, reduced illegal movement and better production/stock reconciliation.
03 · Users and RBAC
Give every stakeholder the view and actions they actually need
Sponsor / owner
Director Geology & Mining
Sponsor / owner
District Mining Officer
Manager / analyst
Mine COO/Head Security
Manager / analyst
Mining Secretary
Manager / analyst
PSU CMD/Director Operations
Operator / specialist
GIS/Remote Sensing
Operator / specialist
Enforcement
Operator / specialist
e-Rawanna/IT
Operator / specialist
Drone Cell
Operator / specialist
Fleet
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
Survey, Integration & Managed Updates
Field survey, data creation, integration, migration, validation and O&M
Product detailsClarityX Location Analytics
Market, territory, network and spatial decision analytics
Product detailsDrone/LiDAR/Reality Capture
Survey, orthomosaic, point cloud, 3D and inspection outputs
Product detailsMap Tiles & Maps SDK
Web/mobile maps, vector/raster tiles and visualisation
Product details05 · Proof of value
Use a bounded implementation to answer the scale decision
8–10 week cluster pilot with drone/DGPS, GIS, change/volume analysis and vehicle/permit integration.
- Confirm data, geography, users and workflow: Lease inventory/accuracy? Permit flow? Weighbridge/RFID/GPS data? Survey frequency? Enforcement process? Revenue leakage estimate?
- Configure Mappls Asset Inspection AI for the selected role set
- Run baseline and intervention scenarios with real stakeholder reviews
- Evaluate agreed criteria: Survey accuracy; variance detection accepted; alert precision; enforcement actionability; quantified revenue opportunity.
- Package production scope and commercial model: Per area/lease survey + platform + per vehicle/device + analytics + managed operations/O&M.
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