Baseline
Measure current volume, time, cost, failure, service, risk and revenue at the workflow level.
P11 · Implementation blueprint · Mappls Asset Inspection AI
Road, Highway, Rail & Bridge Asset Management
Inspection evidence, condition history and maintenance priorities are fragmented, making risk-based intervention and audit difficult.
01 · Target operating outcome
Define the change before choosing the technology
Can you rank every bridge/asset by verified condition and consequence of failure using current evidence?
Business case: lower inspection cost/time, earlier defect detection, risk-prioritised maintenance and fewer closures/failures.
Target
Required accuracy/coverage; inspection time reduction; defect acceptance; scoring repeatability; maintenance owner adoption.
02 · Solution architecture
One connected flow from source data to operational action
Drone/LiDAR/imagery inspection, geospatial asset register, 3D models, condition scoring, defect workflow, maintenance planning and dashboards. We create a living asset condition system linking repeatable inspection evidence to prioritised maintenance decisions.
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
lower inspection cost/time, earlier defect detection, risk-prioritised maintenance and fewer closures/failures.
03 · Users and RBAC
Give every stakeholder the view and actions they actually need
Sponsor / owner
Chief Engineer
Sponsor / owner
Member/Director Projects
Manager / analyst
Asset Management Head
Manager / analyst
Railway PCE
Manager / analyst
Secretary/Chairman/MD
Operator / specialist
Zone General Manager
Operator / specialist
Bridge Engineer
Operator / specialist
GIS/BIM Head
Operator / specialist
Drone/LiDAR Cell
Operator / specialist
Maintenance Planning
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
GeoAI & Spatial Decision Models
ML/AI, risk, demand, accessibility, image and anomaly models
Product detailsRealView 360 & Ground Imagery
Geotagged 360 imagery, photos and videos
Product detailsDrone/LiDAR/Reality Capture
Survey, orthomosaic, point cloud, 3D and inspection outputs
Product detailsAsset & Personal Trackers
Battery/portable/asset location and alert devices
Product details05 · Proof of value
Use a bounded implementation to answer the scale decision
6–10 week multi-asset pilot with capture, model/register, defect workflow and prioritisation.
- Confirm data, geography, users and workflow: Asset count? Inspection frequency? Evidence format? Scoring standard? Maintenance backlog? Drone restrictions? Existing BMS/EAM?
- Configure Mappls Asset Inspection AI for the selected role set
- Run baseline and intervention scenarios with real stakeholder reviews
- Evaluate agreed criteria: Required accuracy/coverage; inspection time reduction; defect acceptance; scoring repeatability; maintenance owner adoption.
- Package production scope and commercial model: Per asset/km survey + platform licence/users + analytics + annual inspection/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