Rising volume buried agents in manual tasks. AI now fields routine chats and writes summaries, cutting wrap-up time in half.
A publicly traded fintech company manages multiple lending brands across customer service, loan origination, and collections functions.
Rapid growth forced the organization to manage rising contact volumes without linearly increasing headcount. Agents spent excessive time on manual...
“AI is at the foundation of Propel’s success, as is excellence in customer service. We knew that in bringing AI further into customer service, we had to do it right…”
Online lending platform for underserved consumers using AI-powered credit scoring.
Generative AI platform for contact center automation and agent productivity.
Propel Holdings's Customer support is part of this use case:
Related implementations across industries and use cases
Language barriers and manual wrap work bottlenecked a $7B loan servicer. Now, AI live-translates calls and auto-summarizes for agents.
Turnover bottlenecked 30k monthly inquiries. GenAI now resolves 64% of emails and 100% of chats, lifting CSAT 8 points.
Weeks-long approvals for new help articles delayed support. Now, AI agents instantly answer urgent questions using pre-approved content.
Turnover bottlenecked 30k monthly inquiries. GenAI now resolves 64% of emails and 100% of chats, lifting CSAT 8 points.
Weeks-long approvals for new help articles delayed support. Now, AI agents instantly answer urgent questions using pre-approved content.
Strict privacy rules prevented sending raw call transcripts to AI. Now, an automated system safely strips and restores sensitive data.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
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.
Rising volume buried agents in manual tasks. AI now fields routine chats and writes summaries, cutting wrap-up time in half.
A publicly traded fintech company manages multiple lending brands across customer service, loan origination, and collections functions.
Rapid growth forced the organization to manage rising contact volumes without linearly increasing headcount. Agents spent excessive time on manual...
“AI is at the foundation of Propel’s success, as is excellence in customer service. We knew that in bringing AI further into customer service, we had to do it right…”
Online lending platform for underserved consumers using AI-powered credit scoring.
Generative AI platform for contact center automation and agent productivity.
Propel Holdings's Customer support is part of this use case:
Related implementations across industries and use cases
Language barriers and manual wrap work bottlenecked a $7B loan servicer. Now, AI live-translates calls and auto-summarizes for agents.
Turnover bottlenecked 30k monthly inquiries. GenAI now resolves 64% of emails and 100% of chats, lifting CSAT 8 points.
Weeks-long approvals for new help articles delayed support. Now, AI agents instantly answer urgent questions using pre-approved content.
Turnover bottlenecked 30k monthly inquiries. GenAI now resolves 64% of emails and 100% of chats, lifting CSAT 8 points.
Weeks-long approvals for new help articles delayed support. Now, AI agents instantly answer urgent questions using pre-approved content.
Strict privacy rules prevented sending raw call transcripts to AI. Now, an automated system safely strips and restores sensitive data.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
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.