[New Service Announcement] Japan's First* Service to Make Personnel Evaluations 'Operational' — Generative AI-powered 'AI Personnel Evaluation JobOpe®' Officially Released
Salary-up Research Institute has released 'AI Personnel Evaluation JobOpe®,' a service that uses generative AI to support everything from the design to the operation and improvement of personnel evaluation systems. It prevents evaluations from becoming a mere formality through AI analysis of work data and enables internal operation (insourcing).
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- 📰 Published: April 22, 2026 at 20:56
- 🔍 Collected: April 23, 2026 at 00:02 (3h 5m after Published)
- 🤖 AI Analyzed: April 23, 2026 at 04:05 (4h 2m after Collected)
Salary-up Research Institute (Headquarters: Shibuya-ku, Tokyo; CEO: Kyosuke Takahashi) is pleased to announce the official release of 'AI Personnel Evaluation JobOpe®,' a new service that uses generative AI to provide integrated support for everything from the design of personnel evaluation systems to their operation and improvement.
This service was developed as Japan's first* support model based on the premise of 'continuously operating the evaluation system,' moving away from conventional HR evaluations where the process ends once the system is created.
*As of February 2026, according to our research. Within the scope of publicly available information on the Internet regarding 'Perpetual Companion-style Personnel Evaluation Operation Support Services' in Japan.
■ Background: Evaluation systems stop at 'operation,' not 'design'
While many companies have introduced personnel evaluation systems, challenges such as evaluations becoming subjective, systems becoming a mere formality, and a lack of correlation between performance and salary often arise. The cause lies not in the system design itself but in the lack of a mechanism to sustain the operation. In response to this 'operational bottleneck,' Salary-up Research Institute developed 'AI Personnel Evaluation JobOpe®' as a new approach utilizing work data and generative AI.
■ Features of AI Personnel Evaluation JobOpe®
1. A mechanism to elevate evaluation systems to an 'operational state': Traditional systems tend to make design the goal, leading to subjective operation. This service combines work data accumulation, AI analysis, and suggestions for improvement directions to guide systems into a state where they can be continuously operated.
2. Clarification of 'evaluation grounds' through work inventory and AI analysis: By taking an inventory of the work content, man-hours, and roles of all employees, field realities are visualized as data. Based on this data, AI organizes target man-hours, behavioral goals, KPI design, and improvement points, enabling design based on data rather than intuition.
3. Cost optimization through design based on internal operation: Conventional system construction relied heavily on external consultants, leading to continuous cost burdens. By combining the cloud, generative AI, and companion support, this service realizes a structure where the company can operate and improve the system internally (insourcing), achieving both cost optimization and operational precision.
4. An evaluation operation model where the PDCA cycle keeps turning: The service is designed on the premise of rotating the cycle of 'Awareness → Action → Result → Performance → Salary.' It makes the evaluation system function as a mechanism that leads to organizational result creation rather than just a management tool.
■ Changes brought to companies
By introducing this service, companies are expected to achieve insourcing of evaluation systems, visualization and efficiency of work, improvement of employee satisfaction, and productivity enhancement. Especially for SMEs, it allows evaluation systems to evolve from a 'form' into a 'functional mechanism.'
■ For those who want to experience it for free (60-minute work inventory)
Salary-up Research Institute offers a free trial of a '60-minute work inventory workshop.' First, we will understand your current situation through a 45-minute online hearing (free), followed by a 60-minute workshop on a different day to clarify tasks directly linked to results, wasteful tasks, and specific actions for improvement.
■ Future Developments
Salary-up Research Institute will continue to advance AI-based evaluation analysis, expand cloud-based operation support functions, and strengthen support programs for insourcing evaluation systems to promote the creation of mechanisms that link 'evaluation,' 'compensation,' and 'performance.'
This service was developed as Japan's first* support model based on the premise of 'continuously operating the evaluation system,' moving away from conventional HR evaluations where the process ends once the system is created.
*As of February 2026, according to our research. Within the scope of publicly available information on the Internet regarding 'Perpetual Companion-style Personnel Evaluation Operation Support Services' in Japan.
■ Background: Evaluation systems stop at 'operation,' not 'design'
While many companies have introduced personnel evaluation systems, challenges such as evaluations becoming subjective, systems becoming a mere formality, and a lack of correlation between performance and salary often arise. The cause lies not in the system design itself but in the lack of a mechanism to sustain the operation. In response to this 'operational bottleneck,' Salary-up Research Institute developed 'AI Personnel Evaluation JobOpe®' as a new approach utilizing work data and generative AI.
■ Features of AI Personnel Evaluation JobOpe®
1. A mechanism to elevate evaluation systems to an 'operational state': Traditional systems tend to make design the goal, leading to subjective operation. This service combines work data accumulation, AI analysis, and suggestions for improvement directions to guide systems into a state where they can be continuously operated.
2. Clarification of 'evaluation grounds' through work inventory and AI analysis: By taking an inventory of the work content, man-hours, and roles of all employees, field realities are visualized as data. Based on this data, AI organizes target man-hours, behavioral goals, KPI design, and improvement points, enabling design based on data rather than intuition.
3. Cost optimization through design based on internal operation: Conventional system construction relied heavily on external consultants, leading to continuous cost burdens. By combining the cloud, generative AI, and companion support, this service realizes a structure where the company can operate and improve the system internally (insourcing), achieving both cost optimization and operational precision.
4. An evaluation operation model where the PDCA cycle keeps turning: The service is designed on the premise of rotating the cycle of 'Awareness → Action → Result → Performance → Salary.' It makes the evaluation system function as a mechanism that leads to organizational result creation rather than just a management tool.
■ Changes brought to companies
By introducing this service, companies are expected to achieve insourcing of evaluation systems, visualization and efficiency of work, improvement of employee satisfaction, and productivity enhancement. Especially for SMEs, it allows evaluation systems to evolve from a 'form' into a 'functional mechanism.'
■ For those who want to experience it for free (60-minute work inventory)
Salary-up Research Institute offers a free trial of a '60-minute work inventory workshop.' First, we will understand your current situation through a 45-minute online hearing (free), followed by a 60-minute workshop on a different day to clarify tasks directly linked to results, wasteful tasks, and specific actions for improvement.
■ Future Developments
Salary-up Research Institute will continue to advance AI-based evaluation analysis, expand cloud-based operation support functions, and strengthen support programs for insourcing evaluation systems to promote the creation of mechanisms that link 'evaluation,' 'compensation,' and 'performance.'