Magicx consulting, jointly operated by Hakuhodo DY ONE and ReD., Launches AI-Driven Development Service 'Magicx Engineering Intelligence Suite'

Magicx consulting, a consulting team jointly operated by Hakuhodo DY ONE and ReD., has announced the launch of 'Magicx Engineering Intelligence Suite,' an AI-driven service that supports the entire system development process, from requirements definition to maintenance and operations.

The service goes beyond just creating deliverables with AI; it supports traceability by visualizing relationships between development stages, and meets the quality, security, governance, and non-functional requirements demanded in enterprise development. By combining this with 'AI Ready project promotion,' a proprietary methodology for AI utilization, it supports companies in increasing development speed, enhancing quality management, and promoting in-house capabilities. In some processes, it aims to reduce man-hours by approximately 30-70% compared to traditional methods and build a development framework capable of immediate response to requirements changes.

■ Background
In recent years, the need for enhanced development capabilities, in-house initiatives, and modernization has grown due to IT talent shortages, rising development costs, reliance on external vendors, and legacy system complexity. Traditional development required manual verification of multiple deliverables for every requirement change, making it difficult to balance speed and quality management. This service addresses these issues by providing cross-sectional support from requirements to documentation, making it easier to identify scope of impact and confirm consistency.

■ Features
1. Productivity improvement across the entire system development process
Utilizes AI across all development stages to shorten lead times, streamlining tasks such as reading existing materials, organizing specifications, and creating design and test specifications.
2. Traceability support for requirements, design, code, and tests
AI verifies consistency from requirements to operational documentation, organizing the impact of changes to support the development team’s decision-making.
3. Strengthening quality, security, and governance
Combines AI support with human approval processes and log management to achieve both process transparency and advanced control.