AI for Aviation

Airfield Operations.
Intelligently Automated.

From safety self-inspections to FOD detection to predictive maintenance – we bring AI where it has the biggest impact: on your airfield.

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60 Min · Non-Binding · No Sales Pitch
-70%
Inspection Time
24/7
Monitoring
99,2%
Detection Rate
100%
EASA Compliant
The Challenge

Safety Is Non-Negotiable.
Neither Is Efficiency.

Airports are under enormous pressure: rising regulatory requirements, skilled worker shortages, growing traffic volumes. Manual processes are reaching their limits.

📋

Paper-Based Inspections

Daily self-inspections with checklists, pen, and camera. Time-consuming, error-prone, hard to trace. Defects are discovered too late.

🔍

FOD Goes Undetected

Foreign object debris on runways is a massive safety risk. Visual inspection in darkness, bad weather, or across large areas is unreliable.

🦅

Wildlife Strikes

Bird strikes and wildlife on the airfield cost millions and endanger lives. Manual monitoring has blind spots.

📊

Compliance Pressure Is Growing

EASA, ICAO, national authorities – documentation and traceability requirements keep increasing. Audit preparation eats up weeks.

"An effective self-inspection program enables airport operators to maintain their certification standards daily – not just during the annual audit."
Use Cases

AI Solutions for Your Airport

No theory. No slides. Field-proven AI applications that can be implemented in weeks – delivering measurable results immediately.

📱

Intelligent Safety Self-Inspections

AI-powered inspection app: take photos, defects are automatically classified, prioritized, and transferred to the ticketing system. Checklists per EASA requirements, complete documentation.

→ Inspection time -70%, complete audit trail
🛬

FOD Detection via Camera AI

Computer vision analyzes camera images in real-time: debris, loose parts, cracks, ponding – detected before an aircraft enters the runway. Integration with existing CCTV infrastructure.

→ 24/7 monitoring, detection rate >99%
🐦

Wildlife Hazard Management

AI-based real-time detection of birds and wildlife on the airport grounds. Automatic alerts, trend analysis, and recommendations for the Wildlife Hazard Management Plan (WHMP).

→ Response time from minutes to seconds
🛤️

Pavement Condition Monitoring

Automatic analysis of runway conditions: cracks, subsidence, rubber deposits, surface variations. Predictive maintenance instead of reactive repair.

→ Maintenance costs -40%, no surprises
💡

Lighting & Signage Monitoring

AI automatically detects failed lighting, damaged signs, and delaminated surfaces during camera inspections. Immediate reporting to the maintenance system.

→ Downtime -80%, NOTAM reduction
📑

Compliance Automation

Automatic review against EASA, ICAO, and national regulations. Audit reports at the push of a button, complete documentation of all inspections, measures, and training.

→ Audit preparation from weeks to hours
Our Approach

From Analysis to Productive Use

No 18-month project. Pragmatic, iterative, and with your team – not past it.

1
2 Weeks

Assessment

Analysis of your inspection processes, IT infrastructure, and regulatory requirements. Stakeholder interviews with Operations, Safety, and IT.

2
4 Weeks

Proof of Concept

2–3 use cases implemented in a protected environment. With your real data, cameras, and processes. Measurable KPIs from day 1.

3
6 Weeks

Pilot Operations

Controlled deployment in daily operations. Parallel operation with existing processes. Training your inspection team.

4
Ongoing

Scaling

Rollout to all areas. Governance framework. Continuous optimization and new use cases.

🎯

Working Solution

Not a prototype – production-ready AI in your airfield operations

👥

Trained Team

Your inspectors and IT understand the systems and can operate them independently

📋

Compliance Package

Documentation, audit trails, and evidence for all regulatory requirements

💰

ROI Evidence

Measured time savings, error reduction, and cost savings after the PoC

Before / After

What Changes with AI

No overnight revolution – but pragmatic improvements your team feels immediately.

Process Today With XALT AI
Daily Inspection 2–3 hours, paper checklist 45 min, app with auto-classification
FOD Detection Visual, dependent on weather & light Camera AI, 24/7, weather-independent
Wildlife Monitoring Observation by staff Real-time alerts with species identification
Audit Preparation 2–4 weeks compilation Report at the push of a button
Defect Tracking Excel, email, manual follow-up Automatic ticketing + escalation
Lighting Check Night inspection, visual Automatic detection of failed lamps
Regulation & Compliance

Safety Meets Innovation

All solutions comply with applicable regulations. No compromises on safety – but working smarter.

🇪🇺

EASA-konform

Alle Lösungen im Einklang mit EASA-Regularien für Flughafenbetriebs­zertifizierung

🌍

ICAO Standards

Annex 14 compatible – international aerodrome standards considered

🇩🇪

LuftVZO

Konform mit deutschen Luftfahrt-Zulassungs­verordnungen

🔒

GDPR

European hosting, privacy-by-design, no data leakage

⚖️

EU AI Act

Risk assessment and documentation per AI Act

📝

Audit-Trail

Lückenlose Nachvollzieh­barkeit aller AI-Entscheidungen

Why XALT

Enterprise Experience Meets AI Competence

We're not an AI startup that "also does airports." We're an enterprise partner that understands AI.

🏆

10 Years of Enterprise Transformation

Atlassian Platinum Partner. 300+ clients in regulated industries. We know complex IT landscapes and compliance requirements.

🤖

AI-First Since 2024

Not just read about – lived it. Our own way of working is completely AI-powered. Every tool we recommend, we use daily.

🔧

Integration, Not Silos

AI solutions that fit into your existing infrastructure – Jira, Confluence, ServiceNow, SAP. No system change needed.

📍

Leipzig. On Site.

Our headquarters is in Leipzig – short distances to your airport. German company, German understanding of data privacy and quality.

FAQ

Still Have Questions?

Does AI work with our existing CCTV infrastructure?
In most cases, yes. Our solutions are designed to leverage existing cameras – no new hardware installation needed. During the assessment we check compatibility and image quality.
How do you ensure AI decisions are traceable?
Every AI classification is documented with confidence score, source image, and timestamp. All decisions are traceable in the audit trail. For safety-critical cases, a human is always involved in the decision.
What happens when the AI makes a mistake?
AI doesn't replace human decisions – it supports them. All safety-relevant detections go through human-in-the-loop validation. AI makes your team faster, not redundant.
Where is the data processed?
European cloud or on-premise at your site. No data leaves the EU. Private cloud and air-gapped installations are possible. GDPR compliance from day 1.
How long until the first productive deployment?
Typically 6–8 weeks from assessment to running pilot operations. You'll see first results in the PoC after 4 weeks.
Do you also support training our staff?
Absolutely. Train-the-trainer is an integral part of our approach. Your inspection team is not just trained but empowered to operate and develop the systems independently.
Next Step

Ready for Smarter
Airfield Operations?

60-minute Executive Briefing – we show you which AI use cases deliver the fastest ROI at your airport.

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📧 ai@xalt.de · 📍 Leipzig
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