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Next Robot

Client project · Russia

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Aeroflot — AI transformation strategy for the airline

One AI core for passenger service and ground operations: 24/7 agents, computer vision and an AI lawyer

Aeroflot: desktop screenshot

// Results

target cut in the passenger claim processing cycle
90%
for an AI legal audit of a document
3 sec
pilot proving results in live operations
4–6 weeks

// How it works

  • Architecture: two pillars around one AI core
    Architecture: two pillars around one AI core
  • 360° traveller profile for predictive care
    360° traveller profile for predictive care
  • AI lawyer: capture, analysis, verdict
    AI lawyer: capture, analysis, verdict

What we built

We designed one AI core on two pillars. Front office: 24/7 support agents in Telegram, WhatsApp, web and app, and a 360° traveller profile for predictive care. Back office: apron computer vision for baggage, turnaround and boarding, and an AI lawyer for claims and contracts. Modules link to Sirena-Travel, ERP and CRM via secure APIs; the roadmap opens with a 4–6 week pilot.

  • 24/7 AI support agents in Telegram, WhatsApp, web and app
  • 360° traveller profile with predictive loyalty care
  • Computer vision on the apron: baggage, turnaround, boarding
  • AI lawyer checks claims against the Air Code and Warsaw Convention

// Stack

  • AI strategy
  • AI agents
  • Computer vision
  • Document AI
// Next case
// Your project

Let's build this for you

Describe the task. An engineer replies within 24 hours with a plan and an estimate.

  • Free AI audit
  • Fixed-price pilot
  • NDA on request