ROUTE06 Inc. (Headquarters: Chiyoda-ku, Tokyo, CEO: Takafumi Endo) has officially released "Acsim," a new AI platform that enables anyone to navigate the requirements definition process effortlessly using generative AI, addressing structural challenges in Japan's development field such as dependency on individual expertise and talent shortages.
"Acsim" is a generative AI solution that comprehensively supports the entire requirements definition process, from concept organization, problem extraction, improvement policy presentation, prototype generation, automatic design documentation output, to development approval support. This eliminates dependency on individuals in requirements definition and achieves both reproducibility and speed in design.
Japan's IT system development market has reached approximately 17 trillion yen and is expected to continue stable growth (Source: Yano Research Institute "IT Investment Trends Survey 2023"). Among these, "upstream processes" such as requirements definition and business design are said to account for 20-30%, expected to continue growing, representing a critical area worth over 5 trillion yen. However, it remains a black box with persistent individual dependency and inefficiency.
Particularly in Japanese companies, the difficulty of requirements definition has been increasing year by year due to business complexity and technological advancement. While multiple skills such as business understanding, technical knowledge, and communication abilities are required, talent possessing all these skills is limited, and much of the design work remains dependent on veterans and individualized. As a result, this has become a major barrier to in-house system development and DX promotion.
Currently, while generative AI has rapidly advanced in implementation phases such as code generation and test support, support for upstream processes like requirements definition that involve "thinking" and "structuring" remains largely untouched.
ROUTE06 has been providing end-to-end support from DX consulting to system development for major companies' DX promotion and core system renewal. Now, "Acsim" represents an evolution to "AI-driven development," where AI makes requirements definition—the core of processes previously handled by humans—executable by anyone with reproducibility and speed.
Based on design know-how and business structure insights cultivated by ROUTE06 in the field, Acsim supports the requirements definition process with AI, simultaneously achieving the elimination of individual dependency, process standardization, and acceleration of decision-making. We aim to overturn the conventional wisdom that design can only be done by people with special skills, and provide a foundation for design that anyone can use in any workplace.
Against this background, ROUTE06 has begun official provision of "Acsim," an AI platform specialized for requirements definition.
"Acsim" is a generative AI platform for upstream processes that focuses on AI supporting the "thinking process" of requirements definition.
When users conduct field interviews, AI structures the content and clarifies business challenges. From there, it seamlessly executes improvement policy presentation, concretization of ideal business based on these policies, screen/function design, prototype generation, and automatic design documentation output. This smoothly forms common understanding among stakeholders while significantly reducing documentation effort, creating an environment where people can focus on more essential discussions and decision-making.
Furthermore, it automatically generates ROI information necessary for development approval. By integrating quantitative effect indicators with qualitative background, it accelerates decision-making. Additionally, by having AI present discussion points and perspectives on behalf of designers, it provides a mechanism where even inexperienced users can lead requirements definition. This eliminates individual dependency and realizes a process where anyone can achieve equivalent quality design through AI.
By supporting the cognitive load that requirements definition promoters face and having AI proactively present perspectives to consider and structural organization, it enhances design quality while achieving elimination of individual dependency and improved process reproducibility.
The structured data and prototype data accumulated in Acsim can be utilized in subsequent processes such as implementation, test design, and specification review. It contributes to overall development process efficiency and quality improvement by resolving perception gaps early through prototype data, preventing rework, automatically generating test cases based on design information, and supporting automatic manual generation after release.
Acsim includes the following features that comprehensively support the requirements definition process:
Automated Current Business Flow Generation and Problem Identification from Conversations AI structures conversation content and visualizes current business status and challenges. Improves problem organization and proposal capabilities in the initial consideration phase.
AI Agent Support for Improvement Policy and Planning AI presents improvement policies based on design perspectives and discussion points for business challenges. Complements thinking to enable even inexperienced users to proceed with requirements definition without omissions, eliminating individual dependency.
Full-Scale Prototype Generation Automatically generates UI and functional prototypes based on improvement policies. Prevents perception gaps with stakeholders and accelerates reviews and discussions.
Automatic Generation of Information Required for Development Approval AI calculates cost reduction effects and business efficiency quantitative indicators for improvement proposals, and documents them along with qualitative background. Accelerates approval processes and investment decisions.
Automatic Design Documentation Output Outputs design documents necessary for requirements definition such as business flows, use cases, screen lists, and function lists in a standardized company format. Significantly reduces documentation effort.
Acsim is a generative AI platform that aims to transform requirements definition, which tends to be individualized, into a reproducible process and realize an era where anyone can design. By comprehensively supporting from concept organization to problem extraction, prototype generation, design documentation output, and approval document creation, it standardizes the design work patterns that previously depended on a few veterans and delivers processes that achieve both speed and quality to all workplaces.
Since its launch in April 2025, it has already been introduced in nearly 20 companies, showing steady expansion primarily among SIers, IT departments, and development teams. Going forward, we will realize integration with various domestic and international platforms such as SAP and Salesforce, and by supporting a wide range of business areas, we will achieve dramatic improvements in reproducibility, speed, and quality throughout the development process.
Our goal is to become the industry standard infrastructure in the design domain, aim for the top share in the "requirements definition" field, and grow into a platform used daily by approximately 100,000 PMs and SEs nationwide (Source: Ministry of Economy, Trade and Industry "IT Human Resources White Paper 2020").
We are currently recruiting sales partners and resellers who will help nurture Acsim together. In addition to enhancing requirements definition and supporting business design, we will work with partner companies who want to tackle the fundamental challenges in Japan's system development, and through Acsim, we will proceed with the challenge of updating the very nature of system development in Japan.
With Acsim at the core, reproducibility for all business processes. Design power for all workplaces. We will challenge structural reform in Japan's development field.
For inquiries about Acsim or to apply for a free trial, please contact us through: