Most AI initiatives in airlines fail because they bolt intelligence onto broken processes and disconnected data.
The Alphient approach is different. With Prime (pro-code) and Prime (low-code), we start with three pillars:
Structured Knowledge
- Map revenue across passenger fares, cargo, ancillary and loyalty programme
- Route Performance Graph
- Passenger Demand Hub
Automated Process Packs
- Build unified revenue attribution from ticket sale to post-flight spend
- Revenue Attribution Pipeline
Intelligent AI Agents
- Revenue Mix Agent
- Cargo Yield Agent
- Ancillary Upsell Agent
The business questions this unlocks:
- Revenue Mix
- CASK & RASK
- Aircraft Utilisation
- On-Time Performance
- AI Readiness
AI agents for revenue mix, CASK/RASK, aircraft utilisation, and route profitability.
Knowledge. Process. Agents. That is the transformation formula.