ATHLEE, we have been solving the shortage of engineers and development problems of companies with high-quality services while keeping costs down.

2024 was probably a year in which the way generative AI was used changed significantly.

We have also built various service developments using generative AI, but we would like to introduce what kind of development we have done and what kind of members we have provided.

Our company is highly regarded for its excellent group of engineers consisting of more than 1,000 development partners in 30 countries and its technology to manage the team with Japanese quality.

【About Our Company】 https://athlee.sg/　

We help customers solve their problems by developing systems, services, and apps that utilize IT, and we would like to introduce some examples of customers who have used IT in a wonderful way that can be called best practices.

We help customers solve their problems by fully supporting digital transformation with highly skilled engineers, and we would like to introduce some examples of customers who have used IT in a wonderful way that can be called best practices.

–[Building an FAQ system to reduce the burden on call center operators]

We were in charge of building an FAQ system that uses AI to reduce the burden on operators at the company’s call center.

A company that provides electronic medical records and electronic receipts for the medical industry. Many medical professionals are not familiar with IT equipment, and as the number of companies introducing the equipment increased, the number of inquiries to the call center about the products rapidly increased. This resulted in issues such as increased costs and burden due to the increase in operator staff, and longer waiting times on the phone, which also affected user satisfaction.

Although we had already taken action to improve operator efficiency by preparing FAQs, we were unable to solve the problems with simple FAQs, as we presented suboptimal answers depending on the user’s situation, and the FAQs themselves were not up to date.

Therefore, we have realized a system in which the voice of inquiries received at the call center every day is converted into text using AI, and then the questions and answers are converted into optimal content and digitized, and the content can be easily evaluated by experienced senior operators on their smartphones as good answers and bad answers, thereby tuning the FAQs themselves.

This not only allows us to evaluate the answers of operators every day, but also improves the appropriateness of the answers derived depending on the situation, which is expected to significantly reduce the burden on operators and improve user waiting times.

In the future, we plan to expand the service to other companies in the same industry as a DX service for call centers, and also aim to become a data platform provider in the industry by collecting data on other companies’ products.

[Are you worried about these things too? 】

– We want to focus our limited in-house staff on tasks that directly affect sales.
– We want to reduce the time spent on inquiries and support for our products.
– We want to add an information function using AI to our website.
– We want to improve the accuracy of answers to frequently asked questions and increase customer satisfaction.
– We want to know if AI can do this because the indirect staff always get the same questions from within the company.
– We want an assistant that can answer questions from past minutes.
– We want you to search for the necessary information from past INVOICES to answer questions.
– We want minutes to be created from past audio recordings.

If you have any of these issues, please contact us. We will explain in detail.

【Contact】inquiry@athlee.sg    

【Our Company Info】 https://athlee.sg/　   

【development examples】　https://athlee.sg/case-development   

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