AIMS unifies asset registers, condition assessment, preventive maintenance, work orders, and capital planning on one spatial platform — so infrastructure organisations extend asset life, cut maintenance cost, and defend every investment decision.
Executive Summary
Asset Lifecycle, Maintenance & Infrastructure Intelligence
Infrastructure organisations manage thousands of assets — substations, pump stations, water mains, roads, towers — with fragmented registers, paper work orders, and calendar-based maintenance. Assets fail without warning, reactive repairs dominate budgets, and capital plans are built on guesswork rather than condition evidence.
AIMS is built for public works departments, utilities, facilities teams, transportation authorities, and asset-intensive enterprises — from maintenance engineers to capital planners and chief executives.
Business Value
Operational Value
Strategic Value
Key Features
Every feature engineered with business, operational, and technical benefit.
Every asset registered with hierarchy, location, condition, cost, and full lifecycle history.
Standardised inspection frameworks scoring asset condition across dimensions.
Schedule-driven and usage-driven maintenance with automatic work-order generation.
Work orders from creation to closeout — planning, dispatch, execution, and cost capture.
Lifecycle modelling, renewal prioritisation, and multi-year capital programmes.
Live telemetry from condition sensors, meters, and equipment controllers.
Every asset on the map — filter, query, and plan spatially across networks.
Dashboards for condition, backlogs, costs, and risk across the asset base.
Business Benefits
Measurable results from production deployments across the region.
35%
Maintenance savings
Shift from reactive to condition-based maintenance — triggered by real data, not calendars.
-45%
Reactive work orders
Preventive schedules absorbed the reactive backlog within two planning cycles.
100%
Register completeness
Every asset located, rated, and costed on one spatial register.
1 system
Replaces 3–5 tools
Registers, work orders, inspections, and capital planning consolidated.
AI Capabilities
From prediction to prevention — AI that earns its place in mission-critical operations.
Sensor trends and failure history forecast equipment failure windows.
Condition and cost models continuously refined on operational outcomes.
Telemetry anomalies flagged for review before thresholds become failures.
Asset and network risk scoring prioritising scarce maintenance resources.
Legacy paper registers and warranty documents digitised with extraction.
Automated work order summaries, inspection narratives, and board briefs.
A spatial replica of the asset base mirroring live condition and history.
Product Tour
Interactive previews of the AIMS command experience.
Asset Network Map
The complete asset network with condition status, locations, and detail panels.
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Customer Success
What leaders say about working with AIMS.
"AIMS moved our maintenance from calendar guessing to condition-based planning. Our reactive backlog dropped by almost half, and our capital submissions now carry evidence our board actually trusts."
Director of Operations
Public Utility
West African Infrastructure
"Every one of our 40,000 assets is now on the map with condition, cost, and history. The audit questions we used to dread are now the questions we answer best."
Head of Asset Management
State Works Department
Government Agency
"IoT sensors on critical equipment feed AIMS directly. We caught a pump failure trend three weeks before failure — that one event paid for the programme."
Maintenance Manager
Energy Company
Private Sector Oil & Gas
FAQs
Straight answers for executives and technical teams.
AIMS includes bulk import tools and a structured migration phase — legacy spreadsheets, CMMS exports, and GIS layers are mapped, cleaned, and loaded with your team through validated migration runs.
Yes. Spatial data integrates via OGC standards and GIS servers, and financial data via SAP, Oracle EBS, or REST APIs. The Integration Gateway governs every connection.
Yes. Field execution, inspections, and capture run offline-first and synchronise automatically — built for remote and low-connectivity sites.
A risk-scoring model combines condition, criticality, failure impact, and cost — so planners prioritise by business risk, not squeaky-wheel urgency.
A pilot with a defined asset population is typically live in 6–8 weeks. Organisation-wide rollout follows an agreed phased plan with training and data migration.
Live performance boards covering condition, backlog, cost, and risk — plus scheduled reports and exports for boards, regulators, and auditors.
See AIMS running condition, maintenance, and capital planning on a live asset network.
