Chime
Customer support
Rigid chatbots frustrated users. Reasoning AI agents now resolve deposit and password needs, freeing staff for complex financial care.
- Resolution rate increase from 50% to 70%+
Deposit checks and lost cards piled up. Chime deployed a unified AI across channels, where lessons from chat instantly train voice agents.
A fintech leader serving millions of members with fee-free banking services and automated savings tools.
Rapid growth created surging support volumes that threatened to compromise the member experience. The team needed to scale operations efficiently...
“At Chime, delivering fast, effortless support is essential to helping our members build a healthier financial future. With Decagon Voice, we’re able to combine high performance and seamless brand customization with cross-channel memory, ensuring every interaction is connected and true to Chime’s member-first values.”
Chime's Multichannel customer support is part of this use case:
Neobank offering fee-free checking, savings, and credit building services.
Generative AI platform for automated enterprise customer support and workflows.
Related implementations across industries and use cases
Rigid chatbots frustrated users. Reasoning AI agents now resolve deposit and password needs, freeing staff for complex financial care.
Basic tools couldn't handle tax season spikes. Now, AI connects to internal APIs to resolve complex loan and investment queries instantly.
Agents typed furiously while customers waited on hold. AI now summarizes calls, saving the team 250,000 hours annually.
Call surges bottlenecked support. AI voice agents now handle precise financial data with strict compliance and zero hallucinations.
35M customers waited in queues for payment updates. Now, a voice agent resolves routine calls instantly, leaving complex issues to humans.
Complex approvals delayed digital services for 74M customers. Now, business teams use low-code tools to launch specialized AI agents.
Agents typed furiously while customers waited on hold. AI now summarizes calls, saving the team 250,000 hours annually.
Inboxes overflowed with tracking and sizing queries. An AI now locates orders and asks player height to size gloves instantly.
Specs scattered in PDFs meant fixes took weeks. Now, autonomous agents access unified data to resolve over 25% of cases instantly.
Deposit checks and lost cards piled up. Chime deployed a unified AI across channels, where lessons from chat instantly train voice agents.
A fintech leader serving millions of members with fee-free banking services and automated savings tools.
Rapid growth created surging support volumes that threatened to compromise the member experience. The team needed to scale operations efficiently...
“At Chime, delivering fast, effortless support is essential to helping our members build a healthier financial future. With Decagon Voice, we’re able to combine high performance and seamless brand customization with cross-channel memory, ensuring every interaction is connected and true to Chime’s member-first values.”
Chime's Multichannel customer support is part of this use case:
Neobank offering fee-free checking, savings, and credit building services.
Generative AI platform for automated enterprise customer support and workflows.
Related implementations across industries and use cases
Rigid chatbots frustrated users. Reasoning AI agents now resolve deposit and password needs, freeing staff for complex financial care.
Basic tools couldn't handle tax season spikes. Now, AI connects to internal APIs to resolve complex loan and investment queries instantly.
Agents typed furiously while customers waited on hold. AI now summarizes calls, saving the team 250,000 hours annually.
Call surges bottlenecked support. AI voice agents now handle precise financial data with strict compliance and zero hallucinations.
35M customers waited in queues for payment updates. Now, a voice agent resolves routine calls instantly, leaving complex issues to humans.
Complex approvals delayed digital services for 74M customers. Now, business teams use low-code tools to launch specialized AI agents.
Agents typed furiously while customers waited on hold. AI now summarizes calls, saving the team 250,000 hours annually.
Inboxes overflowed with tracking and sizing queries. An AI now locates orders and asks player height to size gloves instantly.
Specs scattered in PDFs meant fixes took weeks. Now, autonomous agents access unified data to resolve over 25% of cases instantly.