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.
Complex disputes required manual tracing. AI agents now autonomously plan and execute multi-step payment investigations.
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.
Minor compliance updates once forced full video reshoots. Now, course creators generate and edit AI avatar videos directly from text.
Shifting to B2B sales exposed disconnected workflows and anecdotal forecasts. Now, AI analyzes interactions to surface deal intelligence.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
Sourcing native speakers for 14 markets was costly. Now, AI handles 40% of routine queries and translates live for a central English team.
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.
Complex disputes required manual tracing. AI agents now autonomously plan and execute multi-step payment investigations.
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.
Minor compliance updates once forced full video reshoots. Now, course creators generate and edit AI avatar videos directly from text.
Shifting to B2B sales exposed disconnected workflows and anecdotal forecasts. Now, AI analyzes interactions to surface deal intelligence.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
Sourcing native speakers for 14 markets was costly. Now, AI handles 40% of routine queries and translates live for a central English team.