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.
Agents juggling 8+ tools struggled to keep pace. Now, AI handles 35% of chats, letting the team resolve complex issues 58% faster.
Field teams couldn't support 100,000 remote farmers. Now, an AI agent answers routine crop questions, routing complex cases to experts.
Turnover bottlenecked 30k monthly inquiries. GenAI now resolves 64% of emails and 100% of chats, lifting CSAT 8 points.
Agents juggling 8+ tools struggled to keep pace. Now, AI handles 35% of chats, letting the team resolve complex issues 58% faster.
Scared patients chased cures through forums no one had vetted. Sage answers only from the Foundation's reviewed library — or declines.
Each worker negotiates alone — no HR, no coworkers. Ask Aya turns the movement's collective wisdom into guidance she can hold in her hand.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
Agents juggling fragmented systems and memory for life-safety calls. One platform + AI copilot cut onboarding from 6 weeks to 2.
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.
Agents juggling 8+ tools struggled to keep pace. Now, AI handles 35% of chats, letting the team resolve complex issues 58% faster.
Field teams couldn't support 100,000 remote farmers. Now, an AI agent answers routine crop questions, routing complex cases to experts.
Turnover bottlenecked 30k monthly inquiries. GenAI now resolves 64% of emails and 100% of chats, lifting CSAT 8 points.
Agents juggling 8+ tools struggled to keep pace. Now, AI handles 35% of chats, letting the team resolve complex issues 58% faster.
Scared patients chased cures through forums no one had vetted. Sage answers only from the Foundation's reviewed library — or declines.
Each worker negotiates alone — no HR, no coworkers. Ask Aya turns the movement's collective wisdom into guidance she can hold in her hand.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
Agents juggling fragmented systems and memory for life-safety calls. One platform + AI copilot cut onboarding from 6 weeks to 2.