Baseline
Measure current volume, time, cost, failure, service, risk and revenue at the workflow level.
P57 · Implementation blueprint · Mappls Asset Inspection AI
Drone, LiDAR, Reality Capture & Inspection
Assets, corridors and sites lack current, measurable ground truth, making inspection, planning and change detection slow and costly.
01 · Target operating outcome
Define the change before choosing the technology
Which high-cost field inspection or survey can be converted into repeatable digital evidence?
Faster and safer surveys/inspections; lower field cost and rework; current evidence for asset, planning and compliance decisions.
Target
Accuracy/completeness accepted; cycle time and field exposure reduce; repeat update method agreed.
02 · Solution architecture
One connected flow from source data to operational action
Drone/LiDAR/360/imagery capture, orthomosaic/3D models, feature extraction, inspection analytics, change detection, GIS/digital twin integration. Mappls connects proprietary map and location intelligence with drone/lidar/360/imagery capture, orthomosaic/3d models, feature extraction, inspection analytics, change detection, gis/digital twin 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.
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
Faster and safer surveys/inspections; lower field cost and rework; current evidence for asset, planning and compliance decisions.
03 · Users and RBAC
Give every stakeholder the view and actions they actually need
Sponsor / owner
Survey/Engineering
Sponsor / owner
Asset Integrity
Manager / analyst
Digital Twin
Manager / analyst
COO
Manager / analyst
Project/Asset Director
Operator / specialist
GIS
Operator / specialist
Drone Ops
Operator / specialist
Survey
Operator / specialist
HSE
Operator / specialist
Asset owner
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
Drone/LiDAR/Reality Capture
Survey, orthomosaic, point cloud, 3D and inspection outputs
Product detailsRealView 360 & Ground Imagery
Geotagged 360 imagery, photos and videos
Product detailsSurvey, Integration & Managed Updates
Field survey, data creation, integration, migration, validation and O&M
Product detailsGeoAI & Spatial Decision Models
ML/AI, risk, demand, accessibility, image and anomaly models
Product details05 · Proof of value
Use a bounded implementation to answer the scale decision
Capture representative site/corridor and deliver accepted model plus one inspection/change workflow.
- Confirm data, geography, users and workflow: What accuracy, frequency and legal/safety standards apply? Which decisions consume the output?
- Configure Mappls Asset Inspection AI for the selected role set
- Run baseline and intervention scenarios with real stakeholder reviews
- Evaluate agreed criteria: Accuracy/completeness accepted; cycle time and field exposure reduce; repeat update method agreed.
- Package production scope and commercial model: Per-area/asset survey + analytics/platform + recurring update service.
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