Booost Launches Full-Scale AI Functions to Support Sustainability Information Disclosure for SSBJ and Other Standards
Booost Inc. has launched full-scale AI functions to support sustainability information disclosure, including for SSBJ. These AI functions initially cover two areas: data collection and disclosure document creation, aiming to reduce on-site man-hours and improve data quality and disclosure speed to accelerate corporate Sustainability Transformation (SX).
📋 Article Processing Timeline
- 📰 Published: May 1, 2026 at 01:50
- 🔍 Collected: April 30, 2026 at 17:32
- 🤖 AI Analyzed: April 30, 2026 at 17:44 (12 min after Collected)
Booost Inc. (Shinagawa-ku, Tokyo; Representative Director: Hironori Aoi; hereinafter 'the Company'), which supports corporate SX (Sustainability Transformation)*4 through the provision of 'Sustainability ERP*2,' a market leader for two consecutive years among major corporations*1, and the advocacy of the 'Sustainability 2026 Problem*3,' has commenced the full-scale provision of AI functions to support sustainability information disclosure, including for SSBJ. Initially, AI functions will be provided in two areas related to data collection and disclosure operations, aiming to reduce on-site man-hours while improving data quality and disclosure speed.
Service page: https://booost-tech.com/ai
■ Background
From the fiscal year ending March 2027 (April 2026 – March 2027), companies with a market capitalization of 3 trillion JPY or more became the first entities subject to sustainability information disclosure based on SSBJ (Sustainability Standards Board of Japan) standards. The scope of application is expected to expand in stages in the future, making it urgent for large corporations, which are required to respond in advance, to establish systems from data collection and aggregation to the creation of disclosure documents. As indicated by the 'Sustainability 2026 Problem' advocated by the Company, what is required is not merely compliance with regulations but evolving disclosure data into a form that can be utilized for management decisions and building a system that can promote SX company-wide. Anticipating these changes, the Company has been working on developing AI functions in the sustainability domain and is proceeding with the provision of functions that support increasingly complex disclosure operations.
■ Overview of AI Functions
'Supplier Data Collection AI'
AI automatically reads and analyzes Excel files submitted by suppliers, recognizes different formats and writing styles for each company, and automatically links them to appropriate items.
This streamlines supplier data collection operations, which traditionally relied on Excel transfers and manual aggregation, supporting primary data collection across the entire group and supply chain. Furthermore, AI detects transcription errors and missing entries, achieving both reduced workload and improved data quality.
- Automatic recognition and transfer even with format differences
- Efficient primary data collection by Scope 3 category
- AI detects and alerts transcription errors and missing entries
'Disclosure Draft Generation AI'
AI aggregates and summarizes qualitative and quantitative data collected from group companies and automatically generates a draft of disclosure documents compliant with SSBJ and CSRD (EU Corporate Sustainability Reporting Directive).
This streamlines the disclosure document creation process, which traditionally required significant man-hours, and supports faster disclosure while maintaining consistency in content. By organizing and integrating information gathered from various companies and drafting it, it achieves both reduced workload and improved quality in disclosure operations.
- Reduced man-hours for disclosure document creation
- Improved consistency of disclosed content
- Accelerated disclosure speed
■ Future Plans
Going forward, the Company will further expand its AI application areas, developing functions to execute data collection, analysis, disclosure document creation from suppliers and group companies, and even decision-making support more efficiently and sophisticatedly. Through AI, we will further promote the automation of tasks traditionally reliant on human hands, such as transcription, aggregation, summarization, and documentation, and aim to achieve a state where non-financial data can be utilized for management decisions just like financial data. We will establish 'booost Sustainability (Sustainability ERP)' as the 'management OS' that supports corporate sustainability management and contribute to continuous improvement in corporate value.
■ About 'booost Sustainability'
Our company provides 'booost Sustainability,' a Sustainability ERP that has been No. 1* in market share for two consecutive years, supporting corporate SX*3.
'booost Sustainability' is an integrated SX platform that complies with international disclosure standards and realizes automation of environmental, social, and governance data collection and aggregation, real-time monitoring, XBRL-compliant disclosure, and calculation of financial impacts. It supports multi-tier approval workflows and third-party assurance, comprehensively assisting each phase of operations required for sustainability-related financial information disclosure.
Additionally, we offer industry-specific solutions: 'booost Manufacturing' for manufacturing, 'booost Logistics' for logistics and transportation, and 'booost Automotive' for the automotive industry, supporting sustainability responses optimized for the practical requirements of each industry. Since its launch, 'booost Sustainability' has been adopted by over 6,500 companies in more than 95 countries, serving over 197,000 locations, primarily large corporations (as of 2025).
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Service page: https://booost-tech.com/ai
■ Background
From the fiscal year ending March 2027 (April 2026 – March 2027), companies with a market capitalization of 3 trillion JPY or more became the first entities subject to sustainability information disclosure based on SSBJ (Sustainability Standards Board of Japan) standards. The scope of application is expected to expand in stages in the future, making it urgent for large corporations, which are required to respond in advance, to establish systems from data collection and aggregation to the creation of disclosure documents. As indicated by the 'Sustainability 2026 Problem' advocated by the Company, what is required is not merely compliance with regulations but evolving disclosure data into a form that can be utilized for management decisions and building a system that can promote SX company-wide. Anticipating these changes, the Company has been working on developing AI functions in the sustainability domain and is proceeding with the provision of functions that support increasingly complex disclosure operations.
■ Overview of AI Functions
'Supplier Data Collection AI'
AI automatically reads and analyzes Excel files submitted by suppliers, recognizes different formats and writing styles for each company, and automatically links them to appropriate items.
This streamlines supplier data collection operations, which traditionally relied on Excel transfers and manual aggregation, supporting primary data collection across the entire group and supply chain. Furthermore, AI detects transcription errors and missing entries, achieving both reduced workload and improved data quality.
- Automatic recognition and transfer even with format differences
- Efficient primary data collection by Scope 3 category
- AI detects and alerts transcription errors and missing entries
'Disclosure Draft Generation AI'
AI aggregates and summarizes qualitative and quantitative data collected from group companies and automatically generates a draft of disclosure documents compliant with SSBJ and CSRD (EU Corporate Sustainability Reporting Directive).
This streamlines the disclosure document creation process, which traditionally required significant man-hours, and supports faster disclosure while maintaining consistency in content. By organizing and integrating information gathered from various companies and drafting it, it achieves both reduced workload and improved quality in disclosure operations.
- Reduced man-hours for disclosure document creation
- Improved consistency of disclosed content
- Accelerated disclosure speed
■ Future Plans
Going forward, the Company will further expand its AI application areas, developing functions to execute data collection, analysis, disclosure document creation from suppliers and group companies, and even decision-making support more efficiently and sophisticatedly. Through AI, we will further promote the automation of tasks traditionally reliant on human hands, such as transcription, aggregation, summarization, and documentation, and aim to achieve a state where non-financial data can be utilized for management decisions just like financial data. We will establish 'booost Sustainability (Sustainability ERP)' as the 'management OS' that supports corporate sustainability management and contribute to continuous improvement in corporate value.
■ About 'booost Sustainability'
Our company provides 'booost Sustainability,' a Sustainability ERP that has been No. 1* in market share for two consecutive years, supporting corporate SX*3.
'booost Sustainability' is an integrated SX platform that complies with international disclosure standards and realizes automation of environmental, social, and governance data collection and aggregation, real-time monitoring, XBRL-compliant disclosure, and calculation of financial impacts. It supports multi-tier approval workflows and third-party assurance, comprehensively assisting each phase of operations required for sustainability-related financial information disclosure.
Additionally, we offer industry-specific solutions: 'booost Manufacturing' for manufacturing, 'booost Logistics' for logistics and transportation, and 'booost Automotive' for the automotive industry, supporting sustainability responses optimized for the practical requirements of each industry. Since its launch, 'booost Sustainability' has been adopted by over 6,500 companies in more than 95 countries, serving over 197,000 locations, primarily large corporations (as of 2025).
Keywords: