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.
Agents managed just 90 queries daily. Voice AI now handles 3,000 calls a day in 32 languages, freeing staff for complex account work.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
35M customers waited in queues for payment updates. Now, a voice agent resolves routine calls instantly, leaving complex issues to humans.
Agents managed just 90 queries daily. Voice AI now handles 3,000 calls a day in 32 languages, freeing staff for complex account work.
Analyzing 200-page reports took senior reps hours. Now, AI extracts key insights, empowering any sales rep to build tailored client decks.
Strict privacy rules prevented sending raw call transcripts to AI. Now, an automated system safely strips and restores sensitive data.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
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.
Agents managed just 90 queries daily. Voice AI now handles 3,000 calls a day in 32 languages, freeing staff for complex account work.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
35M customers waited in queues for payment updates. Now, a voice agent resolves routine calls instantly, leaving complex issues to humans.
Agents managed just 90 queries daily. Voice AI now handles 3,000 calls a day in 32 languages, freeing staff for complex account work.
Analyzing 200-page reports took senior reps hours. Now, AI extracts key insights, empowering any sales rep to build tailored client decks.
Strict privacy rules prevented sending raw call transcripts to AI. Now, an automated system safely strips and restores sensitive data.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.