Scattered data slowed reps handling 150K monthly interactions. AI drafts replies and summarizes cases so teams focus on conversations.
A leading European fintech company processes millions of transactions across its markets, managing over 150,000 monthly customer service interactions across eight countries and four languages.
As digital payment volumes surged, service representatives struggled with fragmented data and manual processes that limited visibility across...
“If the challenges related to scalability and fragmentation weren’t addressed, we were risking a decline in service quality and client and customer satisfaction—all threats to trust in our service delivery. It was time to act, but we had to be smart about it.”
Payment platform for buy now pay later, debt collection, and accounting services.
Helped Riverty deploy an AI-ready contact center across multiple markets using Dynamics 365.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Riverty's Customer service is part of this use case:
Related implementations across industries and use cases
Ticket transfers between teams delayed support. Now, AI routes queries by theme and surfaces suggested answers for human agents.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
Rising volume buried agents in manual tasks. AI now fields routine chats and writes summaries, cutting wrap-up time in half.
Ticket transfers between teams delayed support. Now, AI routes queries by theme and surfaces suggested answers for human agents.
Rising volume buried agents in manual tasks. AI now fields routine chats and writes summaries, cutting wrap-up time in half.
Analysts couldn't touch the data—every question funneled through engineers, taking hours or weeks. Now they get answers in seconds.
Finance spent six hours stitching four data sources into fully burdened cost models. Now, they use AI to generate them in minutes.
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.
Scattered data slowed reps handling 150K monthly interactions. AI drafts replies and summarizes cases so teams focus on conversations.
A leading European fintech company processes millions of transactions across its markets, managing over 150,000 monthly customer service interactions across eight countries and four languages.
As digital payment volumes surged, service representatives struggled with fragmented data and manual processes that limited visibility across...
“If the challenges related to scalability and fragmentation weren’t addressed, we were risking a decline in service quality and client and customer satisfaction—all threats to trust in our service delivery. It was time to act, but we had to be smart about it.”
Payment platform for buy now pay later, debt collection, and accounting services.
Helped Riverty deploy an AI-ready contact center across multiple markets using Dynamics 365.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Riverty's Customer service is part of this use case:
Related implementations across industries and use cases
Ticket transfers between teams delayed support. Now, AI routes queries by theme and surfaces suggested answers for human agents.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
Rising volume buried agents in manual tasks. AI now fields routine chats and writes summaries, cutting wrap-up time in half.
Ticket transfers between teams delayed support. Now, AI routes queries by theme and surfaces suggested answers for human agents.
Rising volume buried agents in manual tasks. AI now fields routine chats and writes summaries, cutting wrap-up time in half.
Analysts couldn't touch the data—every question funneled through engineers, taking hours or weeks. Now they get answers in seconds.
Finance spent six hours stitching four data sources into fully burdened cost models. Now, they use AI to generate them in minutes.
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.