Building voice AI in-house proved too complex. Now, agents resolve disputes and support calls for 4 million customers.
A global financial platform serving over 70 million customers across nearly 40 markets, aiming to scale premium support without increasing costs.
An internal attempt to build voice AI revealed that productionizing speech-to-text and LLM pipelines with real-time turn-taking was too complex to...
“Operating across nearly 40 markets, we needed a provider that could match the complexity, speed and language support required without making sacrifices on quality. We’re very proud of the solution we have built together and are confident that it will continue to scale as we do - providing the best possible support for our customers.”
Digital banking and financial services app for payments, savings, and investments.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Revolut's Voice customer support is part of this use case:
Related implementations across industries and use cases
35M customers waited in queues for payment updates. Now, a voice agent resolves routine calls instantly, leaving complex issues to humans.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
Rigid phone trees forced staff to handle routine calls. Now, AI resolves common queries in 5 languages, freeing humans for complex issues.
35M customers waited in queues for payment updates. Now, a voice agent resolves routine calls instantly, leaving complex issues to humans.
Rigid phone trees forced staff to handle routine calls. Now, AI resolves common queries in 5 languages, freeing humans for complex issues.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.
Some member headshots looked genuinely unusable. Runway transformed each into broadcast-ready stills—no cross-country studio shoot required.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
Agents juggling fragmented systems and memory for life-safety calls. One platform + AI copilot cut onboarding from 6 weeks to 2.
Building voice AI in-house proved too complex. Now, agents resolve disputes and support calls for 4 million customers.
A global financial platform serving over 70 million customers across nearly 40 markets, aiming to scale premium support without increasing costs.
An internal attempt to build voice AI revealed that productionizing speech-to-text and LLM pipelines with real-time turn-taking was too complex to...
“Operating across nearly 40 markets, we needed a provider that could match the complexity, speed and language support required without making sacrifices on quality. We’re very proud of the solution we have built together and are confident that it will continue to scale as we do - providing the best possible support for our customers.”
Digital banking and financial services app for payments, savings, and investments.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Revolut's Voice customer support is part of this use case:
Related implementations across industries and use cases
35M customers waited in queues for payment updates. Now, a voice agent resolves routine calls instantly, leaving complex issues to humans.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
Rigid phone trees forced staff to handle routine calls. Now, AI resolves common queries in 5 languages, freeing humans for complex issues.
35M customers waited in queues for payment updates. Now, a voice agent resolves routine calls instantly, leaving complex issues to humans.
Rigid phone trees forced staff to handle routine calls. Now, AI resolves common queries in 5 languages, freeing humans for complex issues.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.
Some member headshots looked genuinely unusable. Runway transformed each into broadcast-ready stills—no cross-country studio shoot required.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
Agents juggling fragmented systems and memory for life-safety calls. One platform + AI copilot cut onboarding from 6 weeks to 2.