Static chatbot drove passengers to call. AI now answers in 2.9 seconds across seven languages—down from 18—without scaling headcount.
Europe's largest airline by passenger numbers, operating over 3,900 daily flights across 36 countries and serving more than 200 million passengers annually on a low-cost model where operational efficiency drives competitive advantage.
As passenger volumes grew, scaling human agents proportionally to match inquiry volume became financially unsustainable for a carrier competing on...
“We needed to move from linear cost scaling to a model where customer service costs remain largely fixed as passenger volumes grow.”
Low-cost airline for domestic and international passenger air travel.
Cloud computing platform and on-demand infrastructure services.
Ryanair's Customer support 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.
Teams manually coded every chat script. Now, a generative AI agent pulls answers straight from the knowledge base to resolve urgent cases.
Rigid phone trees forced staff to handle routine calls. Now, AI resolves common queries in 5 languages, freeing humans for complex issues.
Routine changes buried staff as requests hit 500k. Agents now handle rescheduling and internal support, leaving complex cases to humans.
Callers instantly bypassed robotic routing. Now, an AI voice agent resolves routine requests, passing full summaries to human reps.
Manual prospecting across multiple tools delayed first contact. Now, an agent curates warm leads, so reps start their day ready to sell.
Endless phone tag bottlenecked 10,000 yearly hires. Now, AI screens and schedules via text, freeing managers for in-person interviews.
Data siloed across five products, no shared identity. A unified ID and AI trained on slang now complete cancellations inside the chat.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
Static chatbot drove passengers to call. AI now answers in 2.9 seconds across seven languages—down from 18—without scaling headcount.
Europe's largest airline by passenger numbers, operating over 3,900 daily flights across 36 countries and serving more than 200 million passengers annually on a low-cost model where operational efficiency drives competitive advantage.
As passenger volumes grew, scaling human agents proportionally to match inquiry volume became financially unsustainable for a carrier competing on...
“We needed to move from linear cost scaling to a model where customer service costs remain largely fixed as passenger volumes grow.”
Low-cost airline for domestic and international passenger air travel.
Cloud computing platform and on-demand infrastructure services.
Ryanair's Customer support 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.
Teams manually coded every chat script. Now, a generative AI agent pulls answers straight from the knowledge base to resolve urgent cases.
Rigid phone trees forced staff to handle routine calls. Now, AI resolves common queries in 5 languages, freeing humans for complex issues.
Routine changes buried staff as requests hit 500k. Agents now handle rescheduling and internal support, leaving complex cases to humans.
Callers instantly bypassed robotic routing. Now, an AI voice agent resolves routine requests, passing full summaries to human reps.
Manual prospecting across multiple tools delayed first contact. Now, an agent curates warm leads, so reps start their day ready to sell.
Endless phone tag bottlenecked 10,000 yearly hires. Now, AI screens and schedules via text, freeing managers for in-person interviews.
Data siloed across five products, no shared identity. A unified ID and AI trained on slang now complete cancellations inside the chat.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.