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Case studies
Türkiye FinansCustomer story · Banking

The digital banking assistant that makes reaching answers faster.

ARI is Türkiye Finans's digital assistant, built on CBOT's natural language processing infrastructure. Serving on the bank's website and mobile applications, it instantly and accurately answers the most frequently asked banking questions across thousands of scenarios; and, integrated with back-end systems, it lets users complete certain banking transactions directly through digital channels.

01Executive summary

Türkiye Finans, a participation bank serving on web and mobile channels, saw its digital traffic rise and needed a more efficient approach to customer service. Traditional call centers struggled to give timely, consistent answers at peak times, and repetitive questions kept human agents busy on low-value work. Built on CBOT's natural language processing infrastructure, ARI now serves on the bank's website and mobile applications: it answers the most frequently asked banking questions instantly and accurately across thousands of scenarios, and, integrated with back-end systems, it lets users complete certain banking steps directly through digital channels.

1M
conversations answered per year
ARI answers the most frequent banking questions across thousands of scenarios 24/7, instantly and reliably; and, integrated with back-end systems, it lets users complete certain transactions right in the chat.
1M
conversations / year
24/7
service
02The need

Traditional call center infrastructures struggled to respond to customers in a timely, consistent way during peak periods, extending waiting times and hurting satisfaction. Repetitive, simple questions handled by human agents wasted time and resources, while complex matters went underserved. Türkiye Finans needed to automate repetitive questions, cut waiting times to zero, and increase efficiency in the call center.

Timely, consistent answers

During peak periods traditional call center infrastructure struggled to respond in time and consistently, which extended waiting times and hurt customer satisfaction.

Repetitive questions

Simple, repeating questions handled by human agents wasted time and resources, while more complex matters could not get the attention they needed.

Zero waiting time

With rising digital-channel traffic, customers needed instant access to information instead of waiting to reach the call center.

Call center efficiency

Türkiye Finans wanted to free its teams from low-priority tasks so representatives could focus on complex, value-adding work.

03The solution

Built on CBOT's natural language processing (NLP) infrastructure, ARI serves on Türkiye Finans's website and mobile applications. It matches incoming messages with predefined intent groups and works against the bank's knowledge base to deliver instant, reliable answers, and, integrated with back-end systems, it lets users carry out certain transactions directly.

01
Channels and knowledge base

CBOT positioned ARI on the bank's website and mobile applications. It matches incoming messages with predefined intent groups and works against the bank's knowledge base to give instant, reliable answers to the most frequent banking questions.

02
Hierarchical intent architecture

A hierarchical intent architecture keeps communication effective and consistent across both general and highly specific questions, so users get accurate answers whether they ask broadly or in detail.

03
Back-end integration

Integrated with back-end systems for specific transactions, ARI lets users complete certain banking steps directly through digital channels, for example updating a wire/EFT limit or enabling international use of a credit card, turning the assistant from an information provider into an active digital transaction tool.

04Scope & technology
05Closing & what's next

By automatically answering repetitive questions, ARI gave users instant access to information and let call center teams work more efficiently. This showed how a digital assistant can lift both customer satisfaction and workforce and time efficiency in financial services.

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