SHIFT DQS for Maintenance Support: Turning IT Costs into Investments through AI Automation

SHIFT DQS for Maintenance Support: A New Era of IT Operations

In an era where digital transformation is paramount, SHIFT Inc., based in Minato, Tokyo, has launched a pioneering solution called "SHIFT DQS for Maintenance Support." This innovative service began on June 2, 2026, aiming to automate and standardize maintenance operations using AI technology. It allows businesses to continuously update their system specifications and shift from defensive IT costs to offensive IT investments, enabling better allocation of resources.

The IT industry is facing a significant challenge, with a projected shortage of around 790,000 IT professionals by 2030 in Japan alone. This shortage is exacerbated as veteran workers, who have been crucial to system maintenance and operations, reach retirement age. Consequently, the interruption of knowledge transfer poses a considerable risk to businesses—particularly for systems that lack well-maintained documentation and remain dependent on individual expertise, creating vulnerabilities in operational frameworks. Companies are currently burdened with allocating significant portions of their IT budgets to maintaining existing systems as opposed to investing in new digital initiatives.

Recognizing these pressing issues, SHIFT underscores the potential benefits of AIOps—AI-driven operations that can replace routine maintenance tasks and enhance productivity across IT departments. However, to implement AIOps successfully, organizations first need to demystify their existing systems. This process of revealing and documenting the specifications of previously opaque systems is essential, creating a solid information foundation for future AI interventions.

SHIFT has leveraged its unique AI analysis technology to address these challenges, previously developing the "SHIFT DQS for Reverse Engineering" service that automatically generates 46 types of documents from source code, allowing for better specification visibility. This initiative, in collaboration with Matsuo Research Institute, focuses on refining AI accuracy and capabilities.

Recently, SHIFT has further melded its analytical prowess with operational standardization methodologies, thus launching SHIFT DQS for Maintenance Support. This service promises a dramatic transformation in IT cost structures through the continuous updating of system specifications and AI-driven automation of maintenance operations.

Key Features of SHIFT DQS for Maintenance Support

1. System Visualization and Technical Debt Resolution: By utilizing proprietary AI analysis technology, this solution transforms obscure systems into visible assets. It drastically reduces the time it takes to assess the impacts of system revisions by converting source codes into detailed documents, which supports organizational operational structures and enhances release and response times.

2. Continuous Visualization Cycle: The solution maintains system relevance by analyzing and documenting components throughout the deployment process, preventing obsolescence and ensuring asset value remains intact.

3. Automation of Maintenance Operations and Transition to Offensive IT Investments: By automating primary response and predictive detection processes through AI, the initiative optimizes criteria for defensive costs. This reduction in routine work allows for resources to be reallocated towards new digital transformations and system improvements, thus improving overall ROI for IT investments.

4. Incremental Implementation Model: To enhance user experience, SHIFT adopts a phased approach that minimizes uncertainty. This model allows companies to engage in a free trial where they can see sample results, followed by gradual implementation that builds towards full automation and predictive operations.

Implementation Steps:

- Step 0: Free Visualization Trial offers an analysis of a portion of the source code and presents sample design documents.
- Step 1: Full System Visualization to eliminate black box environments.
- Step 2: Standardization and Automation of Maintenance Operations using AIOps methodology.
- Step 3: Establishment of next-gen SRE operations—AI manages initial responses and predictive detection in an autonomous operation framework.

The recently launched SHIFT DQS for Maintenance Support aims to combat the operational weaknesses exacerbated by a shortage of talent while paving the way for efficient, forward-thinking IT practices. SHIFT's modernization services promise not only improved asset value within legacy systems but also enhanced productivity and added value in new system developments, driving the vision of a more sustainable, efficient society. To discover more about SHIFT's services or to inquire, please visit:

As businesses continue to navigate the digital landscape, SHIFT's innovative tools stand at the forefront, ready to redefine how companies manage and invest in their technology.