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[Case Study] Hanwa Co., Ltd.

[Case Study] Hanwa Co., Ltd.

Support for the introduction of a new system at the AI help desk! Learning from 5,600 logs to effectively present FAQs to users.

We introduced AI to predict the large volume of inquiries during the implementation of the new system and to improve the complicated reception system. We trained the AI help desk using approximately 5,600 accumulated inquiry logs to create a system that presents highly accurate FAQs. We are continuously expanding the area of automation by utilizing analysis from generative AI. *The secrets to successfully leveraging data for large-scale implementation are detailed in the materials.

  • Chatbots
  • Help Desk

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Three Steps to Implement an AI Help Desk: Starting Knowledge Accumulation with Human Support

Three Steps to Implement an AI Help Desk: Starting Knowledge Accumulation with Human Support

It's okay not to have a perfect FAQ. A positive feedback loop starting from dialogue data.

There is no need to aim for perfect automated responses from the initial implementation. We will start with human support first. The data accumulated from human support will be transformed into knowledge by AI (STEP 2), and using that knowledge, we will begin automated responses (STEP 3), creating a "virtuous cycle." This journey design allows us to expand the automation area without difficulty. *The complete details of the fail-safe implementation steps are explained in the final chapter of the document.

  • Chatbots
  • Help Desk

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