Visualizing Existing Systems with Source Code Analysis x Conversational AI: Live Demo of System AI Agent 'Mill' at the 6th Digitalization & DX Promotion Exhibition (ODEX)
MSOL Digital will exhibit its AI agent 'Mill' at ODEX from May 13-15, 2026. Mill solves legacy system black-box issues by auto-generating docs through code analysis and conversational AI. A free trial plan and an expert seminar will be offered.
📋 Article Processing Timeline
- 📰 Published: April 15, 2026 at 20:00
- 🔍 Collected: April 15, 2026 at 11:31
- 🤖 AI Analyzed: April 19, 2026 at 06:31 (90h 59m after Collected)
MSOL Digital Inc. (Location: Minato-ku, Tokyo, Representative: Kosei Sakamoto) is pleased to announce its participation in the 'SaaS & IT Asset Management EXPO' within the '6th Digitalization & DX Promotion Exhibition (ODEX) Tokyo Venue', held at Tokyo Big Sight from Wednesday, May 13 to Friday, May 15, 2026.
At this exhibition, we will showcase a live demonstration of the system-handling AI agent 'Mill', which solves the technical debt of 'black-boxed and personalized existing systems'—a major barrier to corporate DX promotion.
Furthermore, on the second day of the exhibition, Thursday, May 14, we will also speak at a specialized seminar introducing practical examples of eliminating black boxes using AI.
■ Booth Highlights: An Experiential Demo to Intuitively Feel the 'Capitalization' of Systems
At the MSOL Digital booth (Booth Number: W2-32) this time, we have prepared the following experiences so that visitors can intuitively feel the value of LX.
Live Demonstration of 'Mill'
Using a knowledge base pre-analyzed from sample code, you can view CRUD diagrams (data operation lists) that visualize the overall structure of the system and automatically generated design documents. Furthermore, you can practically experience the 'Impact Scope Analysis', where you can ask the AI assistant practical questions like 'If I modify this process, where will it affect?' and instantly identify the functions and files that require testing.
Advance Reservation for Free Trial of Your Own System (Entry Plan)
After signing an NDA (Non-Disclosure Agreement), we will safely take custody of your source code, and the AI will create an analysis report (basic design document, detailed design document, system visualization BI, etc.) for free. We will accept consultations and schedule reservations for this Entry Plan directly at the booth.
■ Specialized Seminar Speaking Info: Overcoming the '2025 Digital Cliff'—Escaping the Black Box Driven by AI
On the second day of the exhibition, our Product Manager, Ryo Nakamura, will speak at a seminar. Legacy systems still remain, particularly in industries like finance and manufacturing. In order to accurately grasp legacy systems amid the continuing issue of talent shortages and take a step toward breaking free from them, we will introduce a black box resolution project utilizing the AI agent 'Mill', complete with actual examples.
Date & Time: Thursday, May 14, 2026, 14:50 - 15:20
Venue: Seminar Venue D (Lecture Number: D-13 / within SaaS & IT Asset Management EXPO)
Title: Escaping the AI-driven Black Box beyond the 2025 Digital Cliff ~Legacy Transformation Realized with Mill~
Advance Registration: https://innovent-expo.jp/odex/seminar/detail/#D-13
Speaker Profile:
Ryo Nakamura (Product Manager, MSOL Digital Inc.)
Experienced student entrepreneurship through no-code education while attending technical college. Later, as an engineer in a printing group, he engaged in everything from maintenance and operation of in-house services to promoting business efficiency with AI and developing new products. Currently promoting the visualization of IT assets as the Product Manager of 'Mill', an AI agent specialized in system analysis and operational support.
■ About the System-Handling AI Agent 'Mill'
'Mill' is an AI agent that deeply understands systems using AI and, by conversing with human personnel, visualizes and capitalizes the entire picture of complex systems.
Simply by uploading source code and existing documents to a dedicated environment, system operations are dramatically streamlined through the following three core functions:
Knowledge Generation & Interview Function: The AI not only analyzes the code but also conducts interviews with the personnel in charge, converting tacit knowledge—such as business knowledge that cannot be understood from the code alone—into explicit knowledge.
AI Assistant Function: The AI, which understands the entire system, instantly answers complex questions like a veteran staff member, such as investigating the impact of modifications or handling troubleshooting.
Document Management Function: Based on the analysis results, it automatically constructs the latest system flow diagrams, CRUD diagrams, and various design documents (downloadable as PDFs) at all times, resolving the obsolescence of documents.
Detailed URL: https://www.msoldigi.com/solution/mill/
■ Background of Exhibition: The 'Invisible Debt' Hindering DX and the Urgent Need for Legacy Transformation (LX)
Against the backdrop of the '2025 Digital Cliff' problem sounded by the Ministry of Economy, Trade and Industry, and a severe shortage of IT talent, the promotion of corporate DX is an urgent task.
At this exhibition, we will showcase a live demonstration of the system-handling AI agent 'Mill', which solves the technical debt of 'black-boxed and personalized existing systems'—a major barrier to corporate DX promotion.
Furthermore, on the second day of the exhibition, Thursday, May 14, we will also speak at a specialized seminar introducing practical examples of eliminating black boxes using AI.
■ Booth Highlights: An Experiential Demo to Intuitively Feel the 'Capitalization' of Systems
At the MSOL Digital booth (Booth Number: W2-32) this time, we have prepared the following experiences so that visitors can intuitively feel the value of LX.
Live Demonstration of 'Mill'
Using a knowledge base pre-analyzed from sample code, you can view CRUD diagrams (data operation lists) that visualize the overall structure of the system and automatically generated design documents. Furthermore, you can practically experience the 'Impact Scope Analysis', where you can ask the AI assistant practical questions like 'If I modify this process, where will it affect?' and instantly identify the functions and files that require testing.
Advance Reservation for Free Trial of Your Own System (Entry Plan)
After signing an NDA (Non-Disclosure Agreement), we will safely take custody of your source code, and the AI will create an analysis report (basic design document, detailed design document, system visualization BI, etc.) for free. We will accept consultations and schedule reservations for this Entry Plan directly at the booth.
■ Specialized Seminar Speaking Info: Overcoming the '2025 Digital Cliff'—Escaping the Black Box Driven by AI
On the second day of the exhibition, our Product Manager, Ryo Nakamura, will speak at a seminar. Legacy systems still remain, particularly in industries like finance and manufacturing. In order to accurately grasp legacy systems amid the continuing issue of talent shortages and take a step toward breaking free from them, we will introduce a black box resolution project utilizing the AI agent 'Mill', complete with actual examples.
Date & Time: Thursday, May 14, 2026, 14:50 - 15:20
Venue: Seminar Venue D (Lecture Number: D-13 / within SaaS & IT Asset Management EXPO)
Title: Escaping the AI-driven Black Box beyond the 2025 Digital Cliff ~Legacy Transformation Realized with Mill~
Advance Registration: https://innovent-expo.jp/odex/seminar/detail/#D-13
Speaker Profile:
Ryo Nakamura (Product Manager, MSOL Digital Inc.)
Experienced student entrepreneurship through no-code education while attending technical college. Later, as an engineer in a printing group, he engaged in everything from maintenance and operation of in-house services to promoting business efficiency with AI and developing new products. Currently promoting the visualization of IT assets as the Product Manager of 'Mill', an AI agent specialized in system analysis and operational support.
■ About the System-Handling AI Agent 'Mill'
'Mill' is an AI agent that deeply understands systems using AI and, by conversing with human personnel, visualizes and capitalizes the entire picture of complex systems.
Simply by uploading source code and existing documents to a dedicated environment, system operations are dramatically streamlined through the following three core functions:
Knowledge Generation & Interview Function: The AI not only analyzes the code but also conducts interviews with the personnel in charge, converting tacit knowledge—such as business knowledge that cannot be understood from the code alone—into explicit knowledge.
AI Assistant Function: The AI, which understands the entire system, instantly answers complex questions like a veteran staff member, such as investigating the impact of modifications or handling troubleshooting.
Document Management Function: Based on the analysis results, it automatically constructs the latest system flow diagrams, CRUD diagrams, and various design documents (downloadable as PDFs) at all times, resolving the obsolescence of documents.
Detailed URL: https://www.msoldigi.com/solution/mill/
■ Background of Exhibition: The 'Invisible Debt' Hindering DX and the Urgent Need for Legacy Transformation (LX)
Against the backdrop of the '2025 Digital Cliff' problem sounded by the Ministry of Economy, Trade and Industry, and a severe shortage of IT talent, the promotion of corporate DX is an urgent task.