CMMS for Airports
Reliability and compliance for terminal and airside systems.
Airports run a mix of terminal building systems and airside ground equipment, and both fail in different ways for different reasons. AssetAI gives facilities teams a single CMMS asset registry and work order flow that covers both, without forcing a heavyweight aviation-specific system onto teams that just need reliable scheduling and breakdown reporting.
How the daily workflow actually runs
The core loop is deliberately simple so ground staff and contract technicians actually use it:
- Statutory and inspection tasks are scheduled as a distinct type — recurring on a defined day/week/month cycle, with the regulation/statute reference and certificate number captured against the asset, and the work order generated automatically by the daily job.
- Inspection closure has its own gate: the technician who inspects is not the one who closes it. A second role signs off, and any rejection sends the work order back to In Progress with the reason logged as "Inspection returned: ..." — so nothing gets closed on a rubber stamp.
- When a baggage carousel, lift, or HVAC unit stops, staff scan the asset QR, enter their name and a company PIN, and file a breakdown report — no login, no app install. Marking it "emergency" or flagging "machine stopped" raises the work order immediately, bypassing the normal approval queue.
- Every breakdown report is numbered (BD-000001 per company), carries severity, failure mode, description, and up to five photos, and — critically — cannot be closed without a recorded failure cause and remedy. That discipline is what makes failure-mode Pareto analysis across airside systems trustworthy instead of guesswork.
This is the same underlying model AssetAI runs for manufacturing plants, applied to airport asset classes — terminal HVAC, lifts, escalators, baggage-handling gear, GSE — rather than production lines. If you're comparing it against other sectors, the industries overview shows how the same engine adapts across use cases.
Where the data pays off
Beyond keeping the schedule and the breakdown log honest, the same asset records feed decisions that are usually made on gut feel at airports:
- Coverage precedence — every asset shows in-warranty, under-AMC, or expired status live, and that status is stamped onto each service call, so nobody schedules a paid repair on equipment still under vendor obligation.
- Repair/Review/Replace scoring — cost against purchase price, 12-month failure trend, downtime hours × downtime cost/hour, and warranty status combine into an RRR verdict per asset, useful for prioritising which ageing GSE or lift actually needs capital replacement versus another repair cycle.
- Downtime cost and OEE — a top-8 downtime-cost Pareto and an OEE figure (availability × performance × quality) are computed per asset from logged usage, skipped automatically where no log exists rather than showing a misleading number.
- Safety measures checklist — LOTO, PPE, gas test, and other required measures for an asset print directly on the job sheet with sign-off lines, giving technicians a working checklist without introducing a separate permit system.
It's worth being clear about scope: AssetAI does not run permit-to-work authorisation, SLA-timed vendor contracts, or integrations with BHS, FIDS, access-control or CCTV systems today. If those are your primary requirement, it's better to know that up front than discover it mid-rollout. For teams whose real pain is asset registry, PM/inspection scheduling, and breakdown-to-work-order flow, the fit is direct — see pricing or the broader features list for what's included, and standards-minded teams can cross-reference expectations against ISO or general TPM practice.
Terminal and airside equipment sit under one company-unique asset registry, organised through a four-level location hierarchy — plant, area, line, functional location — so a lift in Terminal 2 and a GSE unit on the apron are tracked with the same discipline as any manufacturing asset, without a separate aviation-specific system bolted on.
Structuring the asset registry for an airport
Getting value out of AssetAI at an airport starts with how assets are classified, not with the work order screen. Each HVAC unit, elevator, baggage-handling machine, and piece of ground support equipment gets a category, type, and system-type from configurable masters, plus its own AMC/warranty record — vendor, dates, cost, and schedule. Coverage precedence is calculated automatically (in warranty beats AMC beats expired) and stamped onto every service call raised against that asset, so a technician opening a work order immediately knows whether a vendor call or an in-house repair is the right move. This same registry structure is what AssetAI uses across industries, and the full list of what it captures is on the features page.
- Safety measures required for a job — LOTO, PPE, gas testing, and similar — are mapped per asset and print as a checklist with sign-off fields on the job sheet, giving technicians a documented reference before they touch equipment. This is a checklist on the job sheet, not a permit-to-work system with issue/close cycles or expiry tracking — worth knowing up front if permit authorisation is what you're actually looking for.
- Every closed breakdown or corrective work order must carry a recorded failure cause and remedy. Over time this builds a genuine failure-mode Pareto across airside systems rather than a log of "fixed" with no detail — the same discipline behind TPM practice in any equipment-heavy operation.
Using the data to prioritise ageing equipment
Terminal and ground equipment age at different rates, and not every unit deserves the same repair-versus-replace decision. AssetAI scores each asset's Repair/Review/Replace verdict from cumulative work-order cost against purchase cost, 12-month failure trend, downtime hours multiplied by downtime cost per hour, asset age, and warranty status — a mechanism that turns scattered maintenance spend into a ranked list rather than a gut call. The same downtime and usage logs feed a per-asset OEE figure (availability × performance × quality, explained in the OEE glossary entry) wherever usage data exists, and a Pareto of the top eight assets by downtime cost, so facilities teams can see where ground equipment is actually losing money before a bigger failure forces the issue.
Set expectations correctly before rollout: AssetAI does not integrate with BHS controllers, FIDS, access-control, or CCTV systems, and it carries no SLA-tracking module or multi-vendor contractor-governance layer — coverage is limited to the single AMC/service-vendor fields already on each asset. If your primary need is aviation-system integration or contract-level SLA enforcement, it's worth checking the use cases page against your requirements before committing. For teams whose real pain points are asset visibility, inspection scheduling, and getting breakdown reports off paper and onto a QR scan, that scope is usually enough — see pricing or book a demo to walk through your equipment list directly.
CMMS for Airports FAQs
How do I stop technicians from closing a repair without documenting what actually failed?
AssetAI blocks closure of any breakdown work order until the technician records both the failure cause and the remedy applied. This ensures every repair has a traceable record of what went wrong and how it was fixed, which you need for failure analysis and compliance audits. The system enforces this gate at closure—no cause-and-remedy entry means the work order stays open and cannot be marked complete.
Can I track maintenance schedules for statutory inspections separately from routine repairs?
Yes. AssetAI treats statutory and inspection work as a first-class schedule type that recurs on your chosen intervals (days, weeks, or months) and captures the regulation, statute name, and certificate number for each scheduled task. When the schedule triggers, it auto-generates a work order through the daily job queue, keeping compliance deadlines visible and auditable alongside your preventive maintenance plans.
What happens when an inspection fails—do I have to re-do the whole approval loop?
No. Inspections use a separate two-role closure gate: one person inspects and logs findings, another approves or rejects. If rejected, the work order returns to In Progress with a logged rejection reason, allowing the technician to correct the issue without restarting approvals—just closing the same order once the defect is fixed.
How do I make sure baggage handlers can report a broken carousel without needing to log into the system?
Ground staff scan the asset QR code, enter their name and a company PIN, then describe the issue—no login or app installation required. If they mark it emergency severity, the work order bypasses approval queues and raises immediately, getting urgent breakdowns to your team without admin friction.
How does the system know whether to bill this maintenance to the equipment vendor's warranty or our AMC contract?
AssetAI stores AMC and warranty details per asset—vendor name, coverage dates, and cost—and applies live precedence rules: in-warranty coverage is checked first, then AMC, then expired status. That coverage status is automatically stamped onto every service call record, removing guesswork about which party should be billed and ensuring compliance with contract terms. Learn more about how preventive maintenance ties into warranty tracking.
Do I need to print and carry safety checklists to the job, or are they in the system?
AssetAI maps required Safety Measures—LOTO, PPE, gas testing, confined-space protocols—to each asset type and prints them as a signed checklist on the job sheet itself. Technicians carry the physical sheet and sign off on each safety step before work begins, creating an audit trail that proves safety protocols were followed for every job, which is essential for airport regulatory compliance and incident investigations.
How do we ensure ground support equipment (GSE) like tugs and loaders don't miss their pre-flight safety checks?
AssetAI lets you tag GSE with mandatory checklists that must be completed before status changes to "ready." Failed checks lock the equipment and alert supervisors. Integration with your maintenance schedules ensures nothing operates without current safety sign-offs, critical for airport liability and passenger safety.
Is this a CMMS work order system for an airport, or a general one?
It is a general CMMS configured for airports. Work orders carry the four-level location hierarchy (terminal, area, line, functional location), a separate closure gate for inspection work, and emergency severity that bypasses approval when a carousel, lift or boarding bridge stops. Nothing about it is airport-only code; the configuration is.
Does AssetAI handle warranty and AMC coordination with equipment vendors?
Yes. Each asset carries its warranty and AMC records with vendor, dates and cost. When a service call is raised the system stamps which cover applies, with warranty taking precedence over AMC and both over expired, so the call goes to the right vendor and the cost lands on the right head. Renewal alerts run ahead of expiry.
Can it manage airside training records for technicians and ground staff?
Not as a training system. AssetAI is not a learning management system and does not run courses or certifications. What it does is map the safety requirements and checklists to each job, so a work order on airside equipment carries the checks that must be completed before closure. Training records themselves belong in your HR system; Klok, from the same suite, holds them.
How does it support an airport assurance or audit programme?
Every work order, inspection, closure and rejection is written to an audit trail with who, when and the logged reason. Statutory inspections are a first-class schedule type carrying the regulation and certificate number, so an auditor can pull the history for one asset or one regulation. AssetAI holds no certification itself; it gives you the records to hold yours.