Crew-Based Agentic AI Assistant
An airline needed cabin and cockpit crew to get instant answers about their rosters, leave, policies and boarding information — without waiting on support channels.
Context
An airline needed cabin and cockpit crew to get instant answers about their rosters, leave, policies and boarding information — without waiting on support channels.
Challenge
Crew questions about schedules, leave balances, policies and boarding details were spread across systems and manuals, slowing crew down.
Solution
Built a multi-agent (agentic) assistant where specialised agents answer crew questions on schedule, leave, policy and boarding — reasoning with Claude and GPT and grounded on the airline’s documents through an integrated RAG layer.
Outcomes
- Self-service answers on schedule, leave, policy and boarding
- Answers grounded on airline documents via RAG
- Claude + GPT reasoning across specialised agents
- Designed, built and in crew’s hands in 20 days
Technologies
Attribution
Delivered with an implementation or technology partner
Delivered by our AI team in 20 days, with a technology partner.