P14 · Representative solution case · Government / Mining / PSU

Mining Surveillance & Revenue Protection

Where is the largest gap between permitted quantity, measured extraction, stock and transported material?

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

Illegal extraction/transport, uncertain lease boundaries and disconnected permit, vehicle and imagery data cause revenue leakage and weak enforcement.

Primary operating owner

Director Geology & Mining; District Mining Officer; Mine COO/Head Security

Economic decision

Mining Secretary; PSU CMD/Director Operations

Technical influence

GIS/Remote Sensing; Enforcement; e-Rawanna/IT; Drone Cell; Fleet

Why action becomes urgent

Illegal-mining incident, e-permit modernisation, auction/new leases, revenue shortfall, drone survey mandate, check-post digitisation.

02 · Before and after

Change the operating model, not only the interface

Before Mappls

Fragmented context and delayed action

Illegal extraction/transport, uncertain lease boundaries and disconnected permit, vehicle and imagery data cause revenue leakage and weak enforcement.

  • Location, operational and enterprise data remain separated
  • Stakeholders make inconsistent decisions from partial context
  • Exceptions are found late and evidence is difficult to reconstruct
With Mappls

A governed location-aware decision loop

Drone/DGPS survey, lease/stockpile GIS, volumetric/change analytics, RFID/GPS/CCTV integration, e-permit linkage, command centre and mobile enforcement.

  • One role-aware workspace in Mappls Asset Inspection AI
  • 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

Director Geology & Mining

Own and govern

District Mining Officer

Decide and coordinate

Mine COO/Head Security

Decide and coordinate

Mining Secretary

Decide and coordinate

PSU CMD/Director Operations

Execute and verify

GIS/Remote Sensing

Execute and verify

Enforcement

Execute and verify

e-Rawanna/IT

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

01

Frame the operating decision

Lease inventory/accuracy? Permit flow? Weighbridge/RFID/GPS data? Survey frequency? Enforcement process? Revenue leakage estimate?

02

Connect the location foundation

Bring the required map, address, road, place, imagery, asset, customer and operational data into a governed Inspection AI workspace.

03

Act through role workflows

Asset risk, Imagery review, Inspection, Defects, Remediation give each stakeholder the information, decision and action appropriate to their role.

04

Prove the intervention

8–10 week cluster pilot with drone/DGPS, GIS, change/volume analysis and vehicle/permit integration.

05

Scale and continuously improve

Operationalise the model through Per area/lease survey + platform + per vehicle/device + analytics + managed operations/O&M., 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

Asset risk · Imagery review · Inspection · Defects · Remediation

Outcome loop

Survey accuracy; variance detection accepted; alert precision; enforcement actionability; quantified revenue opportunity.

Survey, Integration & Managed Updates

Field survey, data creation, integration, migration, validation and O&M

Product details

ClarityX Location Analytics

Market, territory, network and spatial decision analytics

Product details

Drone/LiDAR/Reality Capture

Survey, orthomosaic, point cloud, 3D and inspection outputs

Product details

Map Tiles & Maps SDK

Web/mobile maps, vector/raster tiles and visualisation

Product details

06 · Outcome and evidence

Make the value claim measurable before scaling

Value hypothesisBusiness case: recovered royalty/penalty, lower survey effort, reduced illegal movement and better production/stock reconciliation.
Success criteriaSurvey accuracy; variance detection accepted; alert precision; enforcement actionability; quantified revenue opportunity.

Bounded proof

8–10 week cluster pilot with drone/DGPS, GIS, change/volume analysis and vehicle/permit integration.

  • Confirm the baseline and decision scope: Lease inventory/accuracy? Permit flow? Weighbridge/RFID/GPS data? Survey frequency? Enforcement process? Revenue leakage estimate?
  • Use representative and, where approved, customer data in the configured workspace
  • Review measurable success with the operating and economic owners: Survey accuracy; variance detection accepted; alert precision; enforcement actionability; quantified revenue opportunity.
  • 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 Mining Surveillance & Revenue Protection into your operating context

Bring the baseline, workflow, users, data and success criteria. Mappls will shape a bounded proof and production path.

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