Primary operating owner
Chief Engineer; Member/Director Projects; Asset Management Head; Railway PCE
P11 · Representative solution case · Government / Infrastructure
Road, Highway, Rail & Bridge Asset Management
Can you rank every bridge/asset by verified condition and consequence of failure using current evidence?
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
Inspection evidence, condition history and maintenance priorities are fragmented, making risk-based intervention and audit difficult.
Economic decision
Secretary/Chairman/MD; Zone General Manager
Technical influence
Bridge Engineer; GIS/BIM Head; Drone/LiDAR Cell; Maintenance Planning
Why action becomes urgent
Bridge/road safety audit, new asset-management programme, monsoon damage, maintenance backlog, corridor digitalisation.
02 · Before and after
Change the operating model, not only the interface
Fragmented context and delayed action
Inspection evidence, condition history and maintenance priorities are fragmented, making risk-based intervention and audit difficult.
- 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
Drone/LiDAR/imagery inspection, geospatial asset register, 3D models, condition scoring, defect workflow, maintenance planning and dashboards.
- 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
Chief Engineer
Own and govern
Member/Director Projects
Decide and coordinate
Asset Management Head
Decide and coordinate
Railway PCE
Decide and coordinate
Secretary/Chairman/MD
Execute and verify
Zone General Manager
Execute and verify
Bridge Engineer
Execute and verify
GIS/BIM Head
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
Asset count? Inspection frequency? Evidence format? Scoring standard? Maintenance backlog? Drone restrictions? Existing BMS/EAM?
Connect the location foundation
Bring the required map, address, road, place, imagery, asset, customer and operational data into a governed Inspection AI workspace.
Act through role workflows
Asset risk, Imagery review, Inspection, Defects, Remediation give each stakeholder the information, decision and action appropriate to their role.
Prove the intervention
6–10 week multi-asset pilot with capture, model/register, defect workflow and prioritisation.
Scale and continuously improve
Operationalise the model through Per asset/km survey + platform licence/users + analytics + annual inspection/update service., 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
Required accuracy/coverage; inspection time reduction; defect acceptance; scoring repeatability; maintenance owner adoption.
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 details06 · Outcome and evidence
Make the value claim measurable before scaling
Bounded proof
6–10 week multi-asset pilot with capture, model/register, defect workflow and prioritisation.
- Confirm the baseline and decision scope: Asset count? Inspection frequency? Evidence format? Scoring standard? Maintenance backlog? Drone restrictions? Existing BMS/EAM?
- Use representative and, where approved, customer data in the configured workspace
- Review measurable success with the operating and economic owners: Required accuracy/coverage; inspection time reduction; defect acceptance; scoring repeatability; maintenance owner adoption.
- 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 Road, Highway, Rail & Bridge Asset Management into your operating context
Bring the baseline, workflow, users, data and success criteria. Mappls will shape a bounded proof and production path.