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.
Analysts couldn't touch the data—every question funneled through engineers, taking hours or weeks. Now they get answers in seconds.
Finance spent six hours stitching four data sources into fully burdened cost models. Now, they use AI to generate them in minutes.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
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.
Analysts couldn't touch the data—every question funneled through engineers, taking hours or weeks. Now they get answers in seconds.
Finance spent six hours stitching four data sources into fully burdened cost models. Now, they use AI to generate them in minutes.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.