Crew spent an hour drafting reports on spotty Wi-Fi. An offline AI tool now expands keywords into full handovers in just 20 minutes.
Japan's flagship carrier operates a fleet of 227 planes and runs 1,000 daily flights serving 66 countries and regions worldwide.
When unplanned events like passenger illness occur, senior cabin attendants must draft detailed handover reports for ground staff while...
“The JAL-AI Report makes our cabin attendants’ jobs more productive. They can spend more time on customer service instead of doing administrative work.”
Major airline for domestic and international passenger and cargo air travel.
Acted as system integrators to help JAL build the JAL-AI Report app using Phi-4 SLM.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Japan Airlines's Inflight incident reporting is part of this use case:
Related implementations across industries and use cases
Millions of queries across 1,300 topics overwhelmed support. Now, an AI agent resolves them instantly, freeing staff for complex cases.
Attendants couldn't memorize procedures for 340 equipment types. Now, an AI app surfaces exact fixes directly to frontline staff.
Teams manually coded every chat script. Now, a generative AI agent pulls answers straight from the knowledge base to resolve urgent cases.
A typist shortage bottlenecked reporting. GenAI now drafts findings for human review, boosting typist productivity up to 4x.
Multilingual claims bottlenecked expansion. Claude now auto-drafts decisions across 15 apps, automating 70% of targeted tasks.
Manual dispatching bottlenecked guest requests. Now, an in-app AI instantly routes tasks to optimal staff and tracks execution.
Legal spent hundreds of hours parsing 100-page scanned contracts. Now, multi-stage AI extracts clauses upon upload for instant search.
Managing documentation across 65 sites bottlenecked a central team. Now, Claude synthesizes data and coaches local directors on compliance.
Fragmented data and manual workflows slowed care. Now, AI helps staff optimize surgical scheduling and physicians diagnose rare diseases.
Crew spent an hour drafting reports on spotty Wi-Fi. An offline AI tool now expands keywords into full handovers in just 20 minutes.
Japan's flagship carrier operates a fleet of 227 planes and runs 1,000 daily flights serving 66 countries and regions worldwide.
When unplanned events like passenger illness occur, senior cabin attendants must draft detailed handover reports for ground staff while...
“The JAL-AI Report makes our cabin attendants’ jobs more productive. They can spend more time on customer service instead of doing administrative work.”
Major airline for domestic and international passenger and cargo air travel.
Acted as system integrators to help JAL build the JAL-AI Report app using Phi-4 SLM.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Japan Airlines's Inflight incident reporting is part of this use case:
Related implementations across industries and use cases
Millions of queries across 1,300 topics overwhelmed support. Now, an AI agent resolves them instantly, freeing staff for complex cases.
Attendants couldn't memorize procedures for 340 equipment types. Now, an AI app surfaces exact fixes directly to frontline staff.
Teams manually coded every chat script. Now, a generative AI agent pulls answers straight from the knowledge base to resolve urgent cases.
A typist shortage bottlenecked reporting. GenAI now drafts findings for human review, boosting typist productivity up to 4x.
Multilingual claims bottlenecked expansion. Claude now auto-drafts decisions across 15 apps, automating 70% of targeted tasks.
Manual dispatching bottlenecked guest requests. Now, an in-app AI instantly routes tasks to optimal staff and tracks execution.
Legal spent hundreds of hours parsing 100-page scanned contracts. Now, multi-stage AI extracts clauses upon upload for instant search.
Managing documentation across 65 sites bottlenecked a central team. Now, Claude synthesizes data and coaches local directors on compliance.
Fragmented data and manual workflows slowed care. Now, AI helps staff optimize surgical scheduling and physicians diagnose rare diseases.