35M customers waited in queues for payment updates. Now, a voice agent resolves routine calls instantly, leaving complex issues to humans.
A financial services provider with 35 million US customers facing increasing call volumes for routine support inquiries.
A large share of incoming calls involved simple informational requests like payment status updates or product guidance. These routine queries...
“We were looking for a voice solution that could work at scale from day one. Our focus was on removing unnecessary waiting for customers with straightforward questions, while ensuring that when customers want to speak to a human they are connected without friction. Our partnership with ElevenLabs has evolved over time, and bringing voice AI to our US customers is the latest milestone. We're excited about the journey ahead as we expand this experience worldwide.”
Global payment provider and bank for buy now, pay later and shopping services.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Klarna's Voice customer support is part of this use case:
Related implementations across industries and use cases
Building voice AI in-house proved too complex. Now, agents resolve disputes and support calls for 4 million customers.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
Manual processing blocked 24/7 support. Now, an AI agent resolves routine requests autonomously, freeing staff for relationship work.
Building voice AI in-house proved too complex. Now, agents resolve disputes and support calls for 4 million customers.
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.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
35M customers waited in queues for payment updates. Now, a voice agent resolves routine calls instantly, leaving complex issues to humans.
A financial services provider with 35 million US customers facing increasing call volumes for routine support inquiries.
A large share of incoming calls involved simple informational requests like payment status updates or product guidance. These routine queries...
“We were looking for a voice solution that could work at scale from day one. Our focus was on removing unnecessary waiting for customers with straightforward questions, while ensuring that when customers want to speak to a human they are connected without friction. Our partnership with ElevenLabs has evolved over time, and bringing voice AI to our US customers is the latest milestone. We're excited about the journey ahead as we expand this experience worldwide.”
Global payment provider and bank for buy now, pay later and shopping services.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Klarna's Voice customer support is part of this use case:
Related implementations across industries and use cases
Building voice AI in-house proved too complex. Now, agents resolve disputes and support calls for 4 million customers.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
Manual processing blocked 24/7 support. Now, an AI agent resolves routine requests autonomously, freeing staff for relationship work.
Building voice AI in-house proved too complex. Now, agents resolve disputes and support calls for 4 million customers.
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.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.