Kacoms Holdings Wins 'Grand Prize' at Agent CUP in KANSAI Hosted by Daiwabo Information System

Kacoms Holdings Co., Ltd. (Osaka; Representative Director, Chairman and President: Taku Shimizu; hereinafter "Kacoms Holdings") is pleased to announce that it received the Grand Prize at the "Agent CUP in KANSAI," hosted by Daiwabo Information System Co., Ltd. (Osaka; President: Hiroyuki Matsumoto; hereinafter "DIS") on Friday, February 20, 2026. The award was granted in recognition of the company's AI agent proposal, which focused on solving specific business challenges for clients.

About "Agent CUP in KANSAI"

"Agent CUP in KANSAI" is an AI agent proposal event hosted by DIS for its partners. It goes beyond mere technical demonstrations, requiring participants to identify specific business challenges and use cases to propose how AI agents can be effectively utilized. Judging is based on a comprehensive evaluation of innovation, business models, business impact, execution plans/technical implementation, and user experience. The Grand Prize is awarded to the proposal that excels across all these criteria.

Key Factors for the Award

DIS noted that the award was given because the proposal was rooted in actual business challenges and provided concrete scenarios for AI agent application. Specifically, the proposal addressed the common organizational issue where employee skills and experience are not fully visualized, leading to personnel placement, development, and workforce planning being overly dependent on subjective judgment. By using AI to analyze and visualize talent data, the proposal demonstrated how to enable optimal placement and future-oriented workforce simulation. During the award ceremony, DIS judges praised the proposal for its practical specificity and its potential to solve organization-wide issues.

Comment from Satoru Asayama, R&D Manager at Kacoms Holdings

"I am truly honored that our proposal was selected for the Grand Prize. In this proposal, we focused not just on showcasing AI agents as a technology, but on presenting concrete business scenarios for how they can be used to address management and organizational challenges such as talent placement, development, and workforce planning. We believe that the issue of failing to fully leverage employee skills and experience is a common challenge for many companies. I believe our recognition stems from demonstrating the potential to support optimal placement and future-oriented talent utilization through AI-driven analysis and visualization..."