ROUTE06 Director Hitoshi Matsumoto Speaks at Cabinet Office Regulatory Reform Promotion Council's "Digital and AI Working Group"
ROUTE06 Director Hitoshi Matsumoto spoke at the Cabinet Office's Digital and AI Working Group, proposing challenges and solutions for AI utilization in government procurement. The company introduced an AI-driven development role model leveraging its AI requirements definition tool "Acsim," aiming to streamline procurement operations and enhance quality.
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- 📰 Published: May 11, 2026 at 22:00
- 🔍 Collected: May 11, 2026 at 13:31
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ROUTE06 Inc. (Headquarters: Chiyoda-ku, Tokyo; Representative Director: Takashi Endo; hereinafter "ROUTE06") Director Hitoshi Matsumoto spoke at the 8th Digital and AI Working Group of the Cabinet Office's Regulatory Reform Promotion Council held on April 16, 2026. Under the theme of "Reforming Government Procurement Operations in the Era of AI-Driven Development and AI-Driven Development as a Role Model," he proposed challenges and solutions for AI utilization in the procurement and development of government information systems.
In this working group, ROUTE06, as a private sector entity, submitted materials and presented opinions alongside the Japan Federation of IT Associations, Fujitsu Limited, NTT DATA Group Corporation, Jitera Inc., Quantia Inc., and the Digital Agency.
Long-standing challenges in the procurement and development of government information systems include high estimates, difficulty in evaluation by ordering parties, and structural negative loops such as implementation lock-in to specific vendors. Matsumoto pointed out that the root cause lies in the low "accuracy of procurement requests" and proposed concrete measures to break this vicious cycle from the upstream process using AI.
◼️ Overview of Presentation Content
Measures to introduce AI at each of the four stages of the government procurement process were presented with demonstrations.
Measure 1: AI Utilization in Procurement Operations
Introduced a mechanism where procurement officers from each ministry and agency organize system requirements and define specifications through dialogue with AI. By having AI assist in creating procurement request documents, which traditionally depended on IT knowledge and experience, the creation period, which previously took two weeks, could be shortened to three days.
Measure 2: AI Utilization in Requirements Estimation
Introduced a mechanism where vendors input large amounts of specification information into AI to organize judgment information and create system proposals and estimates. By improving estimation accuracy and shortening creation time, even small vendors can more easily participate in large-scale system development projects, leading to an expansion of bidding opportunities.
Measure 3: AI Utilization in Procurement Evaluation
Introduced a mechanism where AI automatically reviews estimates based on pre-set checklists during the procurement officer's review, assigning scores and listing confirmation items. Furthermore, by automatically generating comparison reports for multiple vendor estimates, the initial review, which traditionally required manual effort, could be completed in about 10 minutes.
Measure 4: AI Utilization in Design and Implementation
Introduced a mechanism to streamline design document creation, implementation, testing, and project management using AI, based on design information created during the procurement and estimation stages. By directly transferring organized information from upstream to downstream processes, rework can be reduced, and the overall speed and quality of development can be improved.
◼️ Policy Proposals
Concrete policy proposals were presented in two stages:
Short-term measures: Introduction of AI utilization in procurement operations and evaluation
Building an AI agent for procurement
Demonstration experiments in pilot projects
Medium-term measures: Building a foundation for AI utilization
Development of AI utilization guidelines
Establishing a foundation (RAG-ification) to enable the use of past project information
As a means to realize the above measures, an AI-driven development role model utilizing ROUTE06's AI requirements definition tool "Acsim" was introduced.
◼️ Presentation Materials / Archive
Cabinet Office Regulatory Reform Promotion Council 8th Digital and AI Working Group Meeting Agenda:
https://www8.cao.go.jp/kisei-kaikaku/kisei/meeting/wg/2501_06ai/260416/ai08_agenda.html
ROUTE06 Submission Materials (PDF):
https://www8.cao.go.jp/kisei-kaikaku/kisei/meeting/wg/2501_06ai/260416/ai08_04.pdf
[Official YouTube] Regulatory Reform Channel Archive Video:
https://www.youtube.com/live/C6S-nS6vk_c?si=iTftoU4EzjN_Mxo2
◼️ Speaker Profile
Hitoshi Matsumoto, Founding Director / Acsim Business Head, ROUTE06 Inc.
After working as an IT consultant at BayCurrent Consulting, he was responsible for the design and development of EC, advertising systems, and data platform domains at Rakuten Group, Inc. and Yahoo Japan Corporation. He served as Executive Officer CTO at Stripe Department and Executive Officer / Head of Development at Welby before co-founding ROUTE06. Author of "The Essence of Requirements Definition" (Shoeisha).
◼️ "AI Requirements Definition Summit 2026" to be held on June 11, 2026
A conference redefining the often-individualized upstream process through technology, under the theme of "AI x Requirements Definition."
Keywords:
In this working group, ROUTE06, as a private sector entity, submitted materials and presented opinions alongside the Japan Federation of IT Associations, Fujitsu Limited, NTT DATA Group Corporation, Jitera Inc., Quantia Inc., and the Digital Agency.
Long-standing challenges in the procurement and development of government information systems include high estimates, difficulty in evaluation by ordering parties, and structural negative loops such as implementation lock-in to specific vendors. Matsumoto pointed out that the root cause lies in the low "accuracy of procurement requests" and proposed concrete measures to break this vicious cycle from the upstream process using AI.
◼️ Overview of Presentation Content
Measures to introduce AI at each of the four stages of the government procurement process were presented with demonstrations.
Measure 1: AI Utilization in Procurement Operations
Introduced a mechanism where procurement officers from each ministry and agency organize system requirements and define specifications through dialogue with AI. By having AI assist in creating procurement request documents, which traditionally depended on IT knowledge and experience, the creation period, which previously took two weeks, could be shortened to three days.
Measure 2: AI Utilization in Requirements Estimation
Introduced a mechanism where vendors input large amounts of specification information into AI to organize judgment information and create system proposals and estimates. By improving estimation accuracy and shortening creation time, even small vendors can more easily participate in large-scale system development projects, leading to an expansion of bidding opportunities.
Measure 3: AI Utilization in Procurement Evaluation
Introduced a mechanism where AI automatically reviews estimates based on pre-set checklists during the procurement officer's review, assigning scores and listing confirmation items. Furthermore, by automatically generating comparison reports for multiple vendor estimates, the initial review, which traditionally required manual effort, could be completed in about 10 minutes.
Measure 4: AI Utilization in Design and Implementation
Introduced a mechanism to streamline design document creation, implementation, testing, and project management using AI, based on design information created during the procurement and estimation stages. By directly transferring organized information from upstream to downstream processes, rework can be reduced, and the overall speed and quality of development can be improved.
◼️ Policy Proposals
Concrete policy proposals were presented in two stages:
Short-term measures: Introduction of AI utilization in procurement operations and evaluation
Building an AI agent for procurement
Demonstration experiments in pilot projects
Medium-term measures: Building a foundation for AI utilization
Development of AI utilization guidelines
Establishing a foundation (RAG-ification) to enable the use of past project information
As a means to realize the above measures, an AI-driven development role model utilizing ROUTE06's AI requirements definition tool "Acsim" was introduced.
◼️ Presentation Materials / Archive
Cabinet Office Regulatory Reform Promotion Council 8th Digital and AI Working Group Meeting Agenda:
https://www8.cao.go.jp/kisei-kaikaku/kisei/meeting/wg/2501_06ai/260416/ai08_agenda.html
ROUTE06 Submission Materials (PDF):
https://www8.cao.go.jp/kisei-kaikaku/kisei/meeting/wg/2501_06ai/260416/ai08_04.pdf
[Official YouTube] Regulatory Reform Channel Archive Video:
https://www.youtube.com/live/C6S-nS6vk_c?si=iTftoU4EzjN_Mxo2
◼️ Speaker Profile
Hitoshi Matsumoto, Founding Director / Acsim Business Head, ROUTE06 Inc.
After working as an IT consultant at BayCurrent Consulting, he was responsible for the design and development of EC, advertising systems, and data platform domains at Rakuten Group, Inc. and Yahoo Japan Corporation. He served as Executive Officer CTO at Stripe Department and Executive Officer / Head of Development at Welby before co-founding ROUTE06. Author of "The Essence of Requirements Definition" (Shoeisha).
◼️ "AI Requirements Definition Summit 2026" to be held on June 11, 2026
A conference redefining the often-individualized upstream process through technology, under the theme of "AI x Requirements Definition."
Keywords: