AI in ground handling often fails before production – not because of models, but because of data.
With over 23 years of experience in software engineering and a deep understanding of data-intensive systems, Aristek helps aviation and ground handling teams move beyond experimentation and build AI systems that can be effectively deployed.
This whitepaper is drawn from hands-on experience and is intended to help teams move from AI experiments to production systems in ground handling.
What you’ll find inside:
- A breakdown of common failure modes in ground handling AI initiatives
- A step-by-step delivery framework from discovery to production
- Guidance on domain data modeling and pipeline architecture
- Criteria for evaluating ML feasibility before committing to scale
- Practical considerations for transitioning from PoC to production
Download the document to understand how a data-first, engineering-led approach reduces risk and creates a clear path from raw operational signals to production AI.
