en.Wedoany.com Reported - Allganize has built a customer-facing generative AI consulting chatbot, "HanaQ (하나Q)," for Hana Securities. This case is exemplary in the financial industry, where generative AI is mostly limited to internal support or proof of concept (PoC), as it balances security and accuracy.
HanaQ is a generative AI-based consulting service launched by Hana Securities on May 22, aiming to handle various customer inquiries, such as financial product introductions and service usage, 24/7/365 without waiting. Previously, generative AI in the financial industry was mainly used for internal employee support or limited PoCs. To extend its application to customer-facing services, both accuracy and security must be met. Incorrect answers in financial product introductions could cause customer losses, making answer accuracy crucial; meanwhile, regulatory requirements such as customer information protection and network isolation necessitate that generative AI operate in a controlled infrastructure environment.
To meet these requirements, Hana Securities built an AI consulting service in an on-premises environment based on Allganize's one-stop large language model (LLM) platform, "Alli (알리)." HanaQ adopts a retrieval-augmented generation (RAG) architecture using internal knowledge. Unlike traditional chatbots that follow preset scripts, HanaQ retrieves Hana Securities' internal knowledge, such as financial products, terms, and FAQs, in real time and generates answers accordingly. This approach not only understands the context of questions, going beyond simple keyword matching, but also handles follow-up queries and improves accuracy by using reference sources during answer generation.
To ensure answer quality, Hana Securities' AI customer service team checks and updates the chatbot's referenced financial product, terms, and FAQ data daily. Since RAG retrieves this data in real time as the basis for answers, keeping the referenced data up to date is fundamental to consistent and accurate answer quality. In terms of security, Allganize built an on-premises service according to Hana Securities' requirements, enabling generative AI consulting functions within a controlled infrastructure, balancing customer information protection with financial industry security standards.
Allganize CEO Lee Chang-soo stated that the company's RAG has gained technical recognition in the financial industry, and this case with Hana Securities is an excellent example of automation transformation (AX) in the securities sector, combining security in an on-premises environment. Allganize will further accelerate technology development for overall AX in the financial industry.
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