AI Data Inc. Decides on White-Label Introduction of Management OS Model for the Medical Industry - Corporate Management in the AI Era: Why AX Needs AI-Ready - Transitioning from "Chat AI Introduction" to "Companies Where AI Can Work"

AI Data Inc. (Headquarters: Minato-ku, Tokyo; President and CEO: Takani Sasaki, hereinafter referred to as AI Data), a company specializing in the utilization of corporate data and AI, is pleased to announce that its management OS model, based on "AI Komei on IDX" provided for the medical industry, has been decided for white-label introduction to a medical group operating multiple hospitals, clinics, and nursing care facilities in the Tokyo metropolitan area.

This model is not about introducing additional AI tools, but rather about restructuring the operational data and knowledge accumulated within the institution into a data structure that AI can utilize, providing it as a "management OS" that continuously supports everything from management decisions to on-site operations.

In recent years, while many companies and medical institutions have been introducing generative AI, challenges such as "AI has been introduced but has not led to expected results" and "internal data cannot be fully utilized" have become apparent.

AI Data believes that the reason for this lies not in the AI itself, but in the establishment of a "data structure where AI can work (AI-Ready)".

This decision to introduce the model is a case where the management OS model, which embodies this design philosophy for the medical industry, has been adopted. AI Data will continue to develop it as a new practical model for AX (AI Transformation) required in the AI era.

Management OS Model for the Medical Industry Introduced by Hospital Group

A hospital group operating multiple hospitals, clinics, and nursing care facilities in Kanagawa, Chiba, and Tokyo has decided to introduce the hospital management OS model as a white-label version of the medical AI Komei on IDX. The deciding factor was the management OS model that not only builds an environment where AI can be used naturally within the hospital but also consolidates know-how cultivated within the group from daily operations into IDX for utilization in management improvement.

AX Cannot Be Achieved by AI Introduction Alone

In recent years, many companies have begun to introduce generative AI.

Advanced AI tools such as ChatGPT, Copilot, Gemini, and Claude have emerged, raising the expectations of many managers for AI utilization.

However, in reality:

"AI has been introduced, but expected results are not being achieved."

"Internal data cannot be utilized."

"AI is not leading to operational improvements."

Numerous such challenges are occurring.

The reason is simple: AI is not magic.

AI generates value through the following process:

Data

↓

Learning

↓

Inference

↓

Decision Support

In other words, if the quality of the input data is low, the quality of the AI's output will also be low.

This is the so-called "Garbage In, Garbage Out."

What is the Essence of AX?

AI Data defines AX not as mere AI introduction, but as "transforming the entire company into a structure that AI can utilize."

In other words, AX = AI + Data + Organization.

For a company to utilize AI, the three elements of AI, data, and organization must be integrated.

Even if only AI is introduced, if the data is fragmented and the organization is siloed, the intelligence of the entire company cannot be realized.

Current State of Japanese Companies

Currently, many companies manage their operations in different systems and file environments, including:

Sales Department

Manufacturing Department

Quality Department

Procurement Department

Human Resources Department

Accounting Department

Corporate Planning Department

Data is scattered across various locations such as:

SharePoint

NAS

File Servers

Excel

PDFs

Emails

Personal PCs

As a result, even if a large amount of data exists within the company, it is not in a state where AI can learn and utilize it.

In other words, it is a state of "data exists, but it is not AI-Ready."

FAIR Data is Becoming a Global Standard

Currently, the concept of FAIR Data is spreading worldwide.

FAIR stands for:

F: Findable

A: Accessible

I: Interoperable

R: Reusable

However, FAIR Data alone is not sufficient.

AI cannot be fully utilized simply by making data findable and shareable.

From FAIR Data to AI Ready Data

What is needed in the AI era is an evolution from FAIR Data to AI-Ready Data.

AI-Ready Data is data that is immediately usable by AI.

To achieve this, the following are necessary:

Data Structuring

Metadata Management

Document Classification

Access Control

Version Control

Knowledge Integration

Ontology Design

In other words, it is a shift in thinking from "storing data" to "making data work."

The Need for an AI Data Platform

Companies will need an AI Data Platform that integrates all information within the company.

Technical Information

Contract Information

Drawings and Design Information

Meeting Materials

Operational Data

Personnel Information

Regulations and Manuals

Know-how

It is required to integrate these and build an intelligence infrastructure for the entire company.

Conditions for Successful AX Companies

We define the conditions for successful AX companies in the following four stages:

STEP 1

FAIR Data (Organize data)

↓

STEP 2

AI-Ready Data (Make it workable for AI)

↓

STEP 3

AI Data Platform (Build corporate intelligence infrastructure)

↓

STEP 4

AI Native Enterprise (Make the entire company intelligent)

New Competitive Axis Determining Corporate Value

Previously, corporate value was determined by human resources, facilities, factories, stores, and capital.

However, in the AI era, it is thought that corporate value will shift to a new competitive axis: Corporate Value = Data Volume × Data Quality × Organizational Intelligence.

AI Data Inc. Comment

The condition for successful AX is not to introduce AI.

It is to create an environment where AI can work. Therefore, what companies need from now on is not "AI introduction" but "AI-Readiness."

The fundamental challenge that companies should address in the AI era lies not in selecting AI tools, but in establishing a data infrastructure and data structure where AI can thrive.

AI Data Inc. will continue to support companies' AX promotion and AI-Readiness, contributing to the improvement of the competitiveness of Japanese companies.

"AI Komei on IDX" Eligible for Digitalization and AI Introduction Subsidy 2026

We also accept consultations for subsidy application support for "AI Komei on IDX," which has been selected as a product eligible for the Digitalization and AI Introduction Subsidy 2026.

On this occasion, please experience the establishment of AI infrastructure for the AI agent era by building the "AI Komei on IDX Management OS Model."

▼ Information on Digitalization and AI Introduction Subsidy 2026 AI Komei on IDX

https://www.idx.jp/it2026/

About AI Data Inc.

Name: AI Data Inc. Established: April 2015

Capital: 100 million yen (1.525 billion yen in capital reserve)

President and CEO: Takani Sasaki

Location: 4F, Metro City Kamiyacho Building, 5-1-5 Toranomon, Minato-ku, Tokyo

URL: https://www.aidata.co.jp/

AI Data Inc. has been engaged in the business of protecting and utilizing corporate and individual data assets for over 20 years, based on data infrastructure and intellectual property infrastructure. Trusted by over 10,000 companies and over 1 million customers, its "Data Ecosystem Business," which comprehensively covers data sharing, backup, recovery, migration, and erasure, has won the No. 1 sales volume for 17 consecutive years in the BCN Award. In data infrastructure, in addition to providing IDX's cloud data management and recovery services, it has also received high praise in the legal field through forensic investigation and evidence disclosure services, which received the Minister of Economy, Trade and Industry Award. On the other hand, in intellectual property infrastructure, it supports IP management and monetization by building the patent search and application support system "Tokkyo.Ai" and an IP marketplace that enables patent trading through its group company. By integrating these, it deploys a data and intellectual property fusion platform using generative AI "AI Komei." Furthermore, it is also focusing on nurturing young engineers in collaboration with the Ministry of Defense, contributing to the strengthening of social infrastructure through data management and intellectual property protection.