Tilt
Customer support
Turnover bottlenecked 30k monthly inquiries. GenAI now resolves 64% of emails and 100% of chats, lifting CSAT 8 points.
- 100% of chat volume handled by AI
- 94% chat containment rate
- 64% automated email resolution
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
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.
Call surges bottlenecked support. AI voice agents now handle precise financial data with strict compliance and zero hallucinations.
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.
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.
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
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.
Call surges bottlenecked support. AI voice agents now handle precise financial data with strict compliance and zero hallucinations.
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.
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.