Agents pieced together borrower info from scattered systems, delaying help for days. Now, an AI copilot helps them resolve cases 56% faster.
A nonprofit lender operating across 25 states that facilitates consumer and microenterprise loans for refugees and low-income populations disconnected from traditional financial systems.
As loan volume doubled over three years, a servicing team of just three agents struggled to manage complex borrower inquiries using scattered email...
“The volume and complexity of our clients’ inquiries are increasing while our resources are not. We needed to find a way to amplify our staff’s capacity without sacrificing the quality of our service.”
Certified CDFI providing microloans and financial coaching for refugees and immigrants.
AI-powered customer service and employee experience software platform.
IRC Center for Economic Opportunity'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.
Staff drowned in 10k weekly tickets. AI now deflects 70% of volume and maps friction points, cutting payment tickets by 50%.
Rising volume buried agents in manual tasks. AI now fields routine chats and writes summaries, cutting wrap-up time in half.
Turnover bottlenecked 30k monthly inquiries. GenAI now resolves 64% of emails and 100% of chats, lifting CSAT 8 points.
Staff drowned in 10k weekly tickets. AI now deflects 70% of volume and maps friction points, cutting payment tickets by 50%.
Typing barriers and manual admin slowed disabled staff. Now, AI handles drafting and notes, freeing teams for direct community engagement.
Field teams couldn't support 100,000 remote farmers. Now, an AI agent answers routine crop questions, routing complex cases to experts.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
Agents pieced together borrower info from scattered systems, delaying help for days. Now, an AI copilot helps them resolve cases 56% faster.
A nonprofit lender operating across 25 states that facilitates consumer and microenterprise loans for refugees and low-income populations disconnected from traditional financial systems.
As loan volume doubled over three years, a servicing team of just three agents struggled to manage complex borrower inquiries using scattered email...
“The volume and complexity of our clients’ inquiries are increasing while our resources are not. We needed to find a way to amplify our staff’s capacity without sacrificing the quality of our service.”
Certified CDFI providing microloans and financial coaching for refugees and immigrants.
AI-powered customer service and employee experience software platform.
IRC Center for Economic Opportunity'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.
Staff drowned in 10k weekly tickets. AI now deflects 70% of volume and maps friction points, cutting payment tickets by 50%.
Rising volume buried agents in manual tasks. AI now fields routine chats and writes summaries, cutting wrap-up time in half.
Turnover bottlenecked 30k monthly inquiries. GenAI now resolves 64% of emails and 100% of chats, lifting CSAT 8 points.
Staff drowned in 10k weekly tickets. AI now deflects 70% of volume and maps friction points, cutting payment tickets by 50%.
Typing barriers and manual admin slowed disabled staff. Now, AI handles drafting and notes, freeing teams for direct community engagement.
Field teams couldn't support 100,000 remote farmers. Now, an AI agent answers routine crop questions, routing complex cases to experts.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.