Klarna
Voice customer support
35M customers waited in queues for payment updates. Now, a voice agent resolves routine calls instantly, leaving complex issues to humans.
- Up to 10x faster customer resolution
Refunds and returns slowed global support. An in-app AI now resolves these complex disputes autonomously across 35 languages.
A global payments network and shopping assistant serves 150 million consumers worldwide, operating across 23 markets and requiring support in over 35 languages.
Customer support inquiries previously took an average of 11 minutes to resolve, creating friction for users managing refunds and returns. Scaling...
“We push everyone to test, test, test and explore. As Klarna continues to discover applications for OpenAI’s tech, there’s the potential to take the business to new heights. We’re aimed at achieving a new level of employee empowerment, enhancing both our team’s performance and the customer experience.”
Global payment provider and bank for buy now, pay later and shopping services.
AI research and deployment company developing generative models and tools.
Klarna's 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.
Building voice AI in-house proved too complex. Now, agents resolve disputes and support calls for 4 million customers.
Scripted bots demanded hours of upkeep. Gen AI now automates order lookups, elevating agents to content strategists.
Complex disputes required manual tracing. AI agents now autonomously plan and execute multi-step payment investigations.
Refunds meant manual checks across systems. Now, AI agents verify eligibility and execute transactions instantly.
Shifting to B2B sales exposed disconnected workflows and anecdotal forecasts. Now, AI analyzes interactions to surface deal intelligence.
Staff manually combed 350K+ documents scattered across legacy SharePoint. Now, AI semantic search instantly retrieves exact answers.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Complex approvals delayed digital services for 74M customers. Now, business teams use low-code tools to launch specialized AI agents.
Refunds and returns slowed global support. An in-app AI now resolves these complex disputes autonomously across 35 languages.
A global payments network and shopping assistant serves 150 million consumers worldwide, operating across 23 markets and requiring support in over 35 languages.
Customer support inquiries previously took an average of 11 minutes to resolve, creating friction for users managing refunds and returns. Scaling...
“We push everyone to test, test, test and explore. As Klarna continues to discover applications for OpenAI’s tech, there’s the potential to take the business to new heights. We’re aimed at achieving a new level of employee empowerment, enhancing both our team’s performance and the customer experience.”
Global payment provider and bank for buy now, pay later and shopping services.
AI research and deployment company developing generative models and tools.
Klarna's 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.
Building voice AI in-house proved too complex. Now, agents resolve disputes and support calls for 4 million customers.
Scripted bots demanded hours of upkeep. Gen AI now automates order lookups, elevating agents to content strategists.
Complex disputes required manual tracing. AI agents now autonomously plan and execute multi-step payment investigations.
Refunds meant manual checks across systems. Now, AI agents verify eligibility and execute transactions instantly.
Shifting to B2B sales exposed disconnected workflows and anecdotal forecasts. Now, AI analyzes interactions to surface deal intelligence.
Staff manually combed 350K+ documents scattered across legacy SharePoint. Now, AI semantic search instantly retrieves exact answers.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Complex approvals delayed digital services for 74M customers. Now, business teams use low-code tools to launch specialized AI agents.