STELAQ Develops 'AI Assistant Manager' to Support the Practice of Human Capital Management

STELAQ Co., Ltd. (Headquarters: Shibuya-ku, Tokyo, President: Mikiko Yamamoto), which provides software development services within the SOLIZE Group, has developed 'AI Assistant Manager', an AI product designed to support companies in practicing human capital management by improving the quality of on-site management and accumulating organizational knowledge.

'AI Assistant Manager' is a product where AI analyzes and structures field data accumulated daily, such as daily reports, weekly reports, and activity logs, to organize management decisions and dialogues. It transforms management that has traditionally relied on individual experience and intuition into a reproducible mechanism, supporting the implementation of 'AI-driven management' that turns field knowledge into management assets.

Diagram of AI Assistant Manager Implementation

■ Value brought by 'AI Assistant Manager'

1. Improving management quality: From 'personalized skills' to 'reproducible mechanisms'

'AI Assistant Manager' continuously reads field data such as daily and weekly reports, and activity logs, while AI automatically organizes and visualizes the definition of KPIs, specification of issues, execution management, and the status of learning loops.

- Faster decision-making: Supervisors no longer need to decipher information from scratch, allowing them to instantly grasp points requiring intervention.

- Evolution of dialogue: 1-on-1 meetings transform from a place for instructions and reprimands into a space for 'collaborative interaction', where the next steps are planned together based on facts.

The accumulated management processes and decision-making patterns are established within the organization as reproducible mechanisms that do not rely on individual experience or intuition.

2. Capitalization of organizational knowledge: Utilizing field knowledge for management decisions

AI accumulates the reasons for success and failure in the field as organizational knowledge. Rather than just recording them, it utilizes them as organizational knowledge to guide subsequent decisions and actions.

Realization of AI-driven management:

Management and HR can grasp variations in management across organizations and risk signs chronologically and cross-sectionally, enabling highly advanced management decisions based on data.

While human capital management often tends to end with system design and information disclosure, 'AI Assistant Manager' connects field management and daily decisions to organizational learning, serving as a foundation to root human capital management at the practical level.

■ Breaking the status quo of 'Being a section manager is a punishment game' and turning management into a space for positive challenges

In recent years, the burden of on-site management in Japanese companies has surged. In addition to increased workloads, the difficulty of developing subordinates due to diversified values has concentrated excessive burdens on managers, making it not uncommon to hear the expression 'being a section manager is a punishment game'.

The root of this problem lies in a structure that relies too heavily on individuals for management. Therefore, rather than leaving the organization of judgment materials and the absorption of field trial-and-error to a single manager, 'AI Assistant Manager' was developed to create an environment where managers can focus on their original role of 'dialogue for progress' by having AI support that process.

■ Future Outlook

The SOLIZE Group employs over 2,000 engineers and consultants and has a proven track record of nurturing many new hires into professional talent, including the 207 employees who joined in April 2026. Based on these unique human resource development programs and management know-how cultivated over many years, we are proceeding with the design and improvement of 'AI Assistant Manager'.

Currently, after a trial run in the STELAQ staff department, 'AI Assistant Manager' began full-scale implementation in new employee training from April 2026. It has also begun use at SOLIZE Ureka Technology Co., Ltd. within the SOLIZE Group. We continue agile improvements by immediately reflecting feedback from the field into functions. Looking ahead, we aim for a full launch in 2027 after examining the implementation effects, expanding further through collaboration with other companies, and refining the product through repeated verification in actual operations.

■ Recruiting 'Early Adoption / Co-creation Partners' for the Full Launch

STELAQ is recruiting 'Early Adoption / Co-creation Partners' who can cooperate in verifying and improving the 'AI Assistant Manager' currently under development toward its full launch, while utilizing it in actual business environments.

In this partnership, we aim to jointly consider and create use cases and best practices for AI-driven management by having partner companies use the pilot version and participate in verification and improvement under special conditions.

Participating companies can use the tool ahead of its full launch and can also be involved in creating a product that more closely meets on-site needs through feedback based on their own business challenges and operational realities.

Moving forward, STELAQ will continue to develop and provide 'AI Assistant Manager' not merely as a means of operational efficiency, but to utilize AI as a new foundation supporting management decisions, organizational operations, and business promotion.