Future to Fully Deploy "AI-Driven Development" Across Multiple Projects

Future Corporation (Headquarters: Shinagawa-ku, Tokyo; President and CEO: Tomohiko Taniguchi; hereinafter referred to as Future), together with its main operating company Future Architect Inc. (Headquarters: Shinagawa-ku, Tokyo; President and CEO: Yohei Saito; hereinafter referred to as Future Architect), will fully launch a transformation of its development processes by sequentially applying "AI-Driven Development," centered on the "Design Development Platform" developed by Future, to multiple projects under the concept of "Designing Management and AI." This initiative will evolve into an advanced platform that integrates AI across the entire design and development process, starting with the utilization of AI agents in the development stages. By accumulating and utilizing design information such as screens, reports, business logic, interfaces, and test perspectives as structured development assets that AI can easily handle, and by linking them with AI agents, standard architecture, and quality guardrails, Future aims to triple development productivity by 2027 while ensuring the quality, security, and governance required for enterprise systems.

In recent years, there has been growing interest in "specification-driven development," where AI is given specifications to advance design, development, and testing in corporate system development. However, in enterprise system development, including core systems, it is necessary to comprehensively control business specifications, existing system integration, quality, security, operations, and audits. An approach that solely relies on AI reading specification documents may not be sufficient to fully guarantee the consistency of the entire complex system or the quality required for long-term operation.

Prior to the widespread adoption of generative AI, Future has continuously worked on system construction that integrates management, business, and IT in the enterprise domain, establishing standard architectures, managing design information, controlling quality, and analyzing existing systems. This AI-Driven Development initiative is an effort to evolve these accumulated assets into development processes for the AI era. To ensure that AI can refer to correct specifications and design information, design information is stored in the "Design Development Platform" developed by Future, and based on this accumulated design information, AI generates deliverables in accordance with development standards. Then, through verification by humans and quality guardrails, the improvement in development speed achieved by AI is linked to enterprise-level quality.

*AI-Driven Development model that links to enterprise quality by accumulating specification and design information in the Design Development Platform and combining AI agents, human judgment, and quality guardrails.

Key Features of Future's AI-Driven Development

AI Utilization Starting from Specifications and Design Information

Design information such as screens, reports, business logic, interfaces, and test perspectives is stored as structured development assets in the "Design Development Platform" developed by Future, making it easy for AI to reference and process. This creates an environment where AI can support development, review, and testing based on correct design information, rather than relying on ambiguous instructions or fragmented documents.

Highly Reproducible Development Utilizing Long-Standing Standardization Assets

Future has established standard architectures, development standards, common components, and quality management mechanisms over many years. In AI-Driven Development, these standardization assets are linked with AI agents to aim for a highly reproducible development process that is less dependent on personalized prompts or instructions.

Achieving Enterprise Quality Through Collaboration Between Humans and AI

Based on design information, AI agents for specific purposes generate code, perform modifications, reviews, and testing support. The generated deliverables are supplemented by human business judgment and exception handling, and verified through quality guardrails. AI is incorporated into the development process not as a replacement for humans, but as a partner for humans to focus on higher-level judgment and quality responsibility.

Quality Guardrails to Ensure Quality, Security, and Governance

Instead of accepting AI-generated outputs as-is, quality is confirmed through static analysis, security checks, unit tests, reviews, and consistency checks with architectural constraints. Furthermore, by leaving records of AI instructions, referenced design information, review comments, and modification history, the transparency and governance of the development process are enhanced.

Utilization of Existing System Assets

Leveraging existing system analysis technologies, including Future's proprietary source code analysis solution "Futurefraqta," the structure and dependencies of current systems are visualized. This enables AI utilization that takes existing assets into account when renovating legacy systems or rebuilding core systems.

Future views the productivity improvement through AI-Driven Development not merely as a reduction in man-hours, but as strengthening the development system to provide high-quality DX and core system renovations to a larger number of clients. Through the transformation of the development process using AI, Future is reinforcing its capacity to handle more challenging projects with the same personnel size, thereby contributing to solving clients' management issues and achieving sustainable business growth.

Since its founding in 1989, Future has provided unique consulting services that neutrally evaluate and carefully select technologies without relying on specific vendors, designing optimal architectures for clients. Future Architect provides integrated support from strategy planning to implementation and operation across various industries, including distribution, retail, wholesale, manufacturing, energy, finance, and public sectors. Consultants with deep industry-specific business knowledge and expertise in cutting-edge technologies such as AI support clients in achieving DX.

Moving forward, under the concept of "Designing Management and AI," Future aims to solve societal issues by enhancing the productivity and quality of enterprise system development through AI-Driven Development, working alongside more clients.

*Futurefraqta is a proprietary source code analysis solution that visualizes entire black-box systems as data, based on the know-how cultivated by Future in large-scale system renovation projects. It analyzes the total volume of the system, the degree of coupling between systems, data flow, and dependencies, to support optimal system design and the planning of safe migration from the perspectives of management, business, and IT.

https://www.future.co.jp/architect/our_service/solution/futurefraqta/

Reference Press Releases

Future Announces Statement Aiming to Be the No. 1 Company in AI Social Implementation

- Accelerating Solutions to Societal Issues through Triple Productivity with "AI-Driven Development" and Total Design of AI x IT (April 30, 2026)

https://www.future.co.jp/press_room/PDF/PressRelease_FUTURE_AIstatement_20260430.pdf

Future Offers Legacy System Renovation Plan in the Generative AI Era

Enabling Selection of Optimal Migration Methods through "Fact-Based Modernization" (May 29, 2026)

https://www.future.co.jp/press_room/PDF/PressRelease_NewModernizationPlan_260529.pdf

Inquiries Regarding This Project

Hoshi, Core Technology Group, Future Corporation

https://www.future.co.jp/apps/contact/fai/service_solution_entry.php