AGEST Launches 'AI Potential Diagnosis Service' and 'Efficiency Support Service' to Visualize the Effectiveness of AI Test Management Tool 'TFACT'

AGEST, Inc. (Headquarters: Bunkyo-ku, Tokyo; President and CEO: Yasumasa Ninomiya), a provider of software quality and safety enhancement solutions using advanced technology, launched the 'AI Potential Diagnosis Service' and 'Efficiency Support Service' on April 27, 2026. These services are designed for companies considering the implementation of the AI-powered test management tool 'TFACT' to visualize its effects beforehand.

### Background In software testing, the demand for AI technology is rising to balance quality and efficiency in high-speed development cycles. However, challenges such as complex test management, lack of skilled personnel for automation maintenance, and the difficulty of predicting ROI before adoption have been significant barriers. AGEST's new services address these issues by providing a clear roadmap from decision-making to operational stability.

### Service Overview **AI Potential Diagnosis:** AGEST engineers diagnose the potential impact of TFACT on the client's system based on their documentation. This service visualizes the 'upper limit' of AI utility and identifies 'room for growth,' helping stakeholders make informed decisions.

**Efficiency Support Service:** This service assists in revising and improving the various documents that serve as instructions for TFACT. Since the quality of these documents directly impacts the accuracy of AI outputs, AGEST provides hands-on support to refine them for optimal results.

### Future Outlook AGEST plans to expand its AI testing solutions toward 2027. It aims to accelerate the integration with its proprietary test automation tool, 'TestArchitect,' providing a system that supports AI test automation across all platforms, including web, PC, and mobile applications.

### About AGEST Under the vision of 'Rich Value and Experience for All DX through Advanced Quality Technology,' AGEST promotes the research of advanced technologies and the training of QA tech leaders to contribute to the development of a highly digitalized society.