Virgin Atlantic
Customer service and operations
Scale disadvantages slowed operations. Now, a voice AI concierge handles routine queries while internal GPTs speed up coding and HR.
- Hundreds of internal custom GPTs developed
With numbers to prove it.
Explore all use casesAI agents dialing insurers still took days. A graph database now reuses past answers to verify benefits in seconds without a call.
Techs fielded 100 daily calls, limiting repair time. Voice AI now handles booking and troubleshooting, leaving staff to focus on repairs.
Clients were limited to 9-5 support. Now, natural AI agents handle full voice conversations 24/7, solving global availability.
35M customers waited in queues for payment updates. Now, a voice agent resolves routine calls instantly, leaving complex issues to humans.
Seniors hung up on robotic voices. Now, natural-sounding agents resolve 90% of inquiries about home care schedules.
Advisors were buried in rote qualification calls. An AI voice agent now handles eligibility, cutting origination costs by 41%.
Users hung up on lagging voice agents. Speculative decoding on NVIDIA B200s cut latency from seconds to <400ms.
Building an agent took 50 people weeks of work. A bank now designs and tests the same tool in just four days.
Voice lag created awkward clinical pauses. Caching common queries cut latency 4x and AI costs 70%.
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