KMS Updates AI Agent Business Efficiency Service, Implementing 5 New AI Models Including 'GPT-5.4' from Azure AI Foundry

KMS Co., Ltd. (President: Kentaro Kajiwara), which supports business efficiency through AI Agents, has announced the implementation of five new AI models—"GPT-5.3-Chat," "GPT-5.4," "GPT-5.4-Pro," "GPT-5.4-mini," and "GPT-5.4-nano"—into its "KMS AI Solution" using Azure AI Foundry. This update further improves the accuracy of complex instruction and context comprehension, enabling more advanced and efficient support for tasks such as writing, data analysis, and proposal creation. With enhanced conversational understanding and multi-faceted analytical capabilities, it delivers more natural, consistent, and high-precision output compared to previous models. Furthermore, because users can select the optimal model based on their specific application and business requirements, the service can flexibly handle a wide range of use cases, from high-precision tasks to high-volume processing where cost and speed are prioritized. "KMS AI Solution" will continue to expand the use of AI across diverse business areas, including writing, image generation, and analysis support, strongly assisting companies in improving operational efficiency and promoting digital transformation (DX). ※Download use case materials here ■ About KMS AI Solution "KMS AI Solution" allows for the use of RAG (Retrieval-Augmented Generation) in a secure environment. It enables customers to maximize the use of their own data, further boosting operational efficiency. Furthermore, it leverages the interaction of three elements—User Interface (creativity), Development (development and operational capabilities), and User Experience—to challenge new technologies. By integrating with Microsoft Teams and connecting to external services like Box and SharePoint, it provides an unprecedented experience. ※RAG is an AI technology that combines information retrieval with generation. In this method, the AI Agent quickly searches for relevant information from large databases or documents and generates new content or answers based on the retrieved information. ■ Additional Models: GPT-5.3-Chat, GPT-5.4, GPT-5.4-Pro, GPT-5.4-mini, GPT-5.4-nano ▼ GPT-5.3-Chat (A versatile conversational model that serves as the core of business efficiency) A highly versatile model that combines advanced natural language understanding with stable conversational performance. Its strengths lie in summarizing long texts, structuring data, and creating business documents, with the major advantage of easily obtaining consistent quality output. It is particularly suitable for searching and summarizing internal knowledge and automating inquiry responses, achieving both accuracy and reproducibility when combined with a RAG configuration. It is ideal for customer support, internal FAQs, and meeting minute generation.