[2026 Latest] What are SASB and GRI Standards? A Beginner's Guide and Automated Non-Financial Narrative Generation with Generative AI

In corporate sustainability disclosure, the double burden of "collecting vast amounts of ESG data" and "converting it into disclosure narratives" aligned with standards is what exhausts teams the most. You likely hear the terms "SASB" and "GRI" frequently. These are the global "rulebooks (reporting standards)" used when companies report on how much they contribute to the environment and society.

In this article, we will break down the differences between these two standards in an easy-to-understand way for beginners. Furthermore, we will explain a specific scheme to complete everything from data aggregation to standard-compliant draft generation in minutes using generative AI within the latest 2026 DX environment.

A clean Japanese office desk. In the foreground, an A4-sized business document printed with "Sustainability Report Outline" in Japanese is placed, and next to it, a high-performance laptop is open. The screen displays a Japanese data summary table organized by SASB and GRI standard items, along with a preview of text drafted by generative AI. Through the window, the Tokyo skyline is visible, with soft afternoon light illuminating the entire desk. No people are shown.

1. What is the Difference Between SASB and GRI? A Basic Guide for Beginners

Let's first clarify the differences between the two "rulebooks" that always appear in the field of ESG disclosure.

💡 Understanding the Differences Between SASB and GRI in 2 Minutes

  • GRI (Global Reporting Initiative)
    These standards report on "impact on the planet and society." The audience includes all stakeholders, such as customers, local residents, and employees. It is a broad standard showing "how our activities have improved the world."
  • SASB (Sustainability Accounting Standards Board)
    These standards report on "impact on the company's financial condition." The primary audience is investors. It is a standard more closely tied to finance, specifying how sustainability issues affect a company's future profits on an industry-by-industry basis.

*Example: A key feature of SASB is that items are categorized by industry; for instance, "customer data protection" is a material item for IT companies, while "water management" is material for the manufacturing industry.

In actual support scenarios, the biggest hurdle to aligning with these two different yardsticks (standards) is that Environmental (E), Social (S), and Governance (G) data often exist in silos across various departments. The method of manually aggregating these at the end of the fiscal year has reached its limit.

Figure 1: Comparison of Disclosure Workload Between Traditional Methods and Latest DX (Estimates based on our support track record)

As shown in the figure above, implementing a centralized management platform can significantly reduce the time spent on data collection and cleansing. This evolves disclosure work from an annual "review" into monthly "management monitoring."

2. Automated Drafting of SASB/GRI-Compliant Narratives Using Generative AI

The biggest challenge after data collection is the writing process. It is not enough to simply list numbers; a "narrative" is required to explain what those numbers mean and how they contribute to the company's sustainability. This is where generative AI proves its power.

A Japanese data analyst is facing dual monitors from a diagonal rear angle. The left screen displays a complex correlation diagram of ESG data, while the right screen shows a draft of a "GRI-compliant environmental impact reduction narrative" in Japanese generated by AI. The analyst's gaze is fixed on a tablet in hand, seriously verifying the consistency of the generated text. The office is enveloped in silence, with the monitor light illuminating the desk in a pale blue glow.

Generative AI performs the following processes in minutes:

  1. Understanding Standards: Reading SASB industry-specific guidelines and GRI general disclosures.
  2. Data Mapping: Automatically determining which item of which standard (e.g., GRI 305) a "CO2 emission reduction figure" should be recorded under.
  3. Style Consistency: Learning from past reports to create drafts in the company's unique tone and manner.
RAG（検索拡張生成）技術を組み合わせることで、過去の開示実績との整合性を保ちながら、広報やIR担当者が「AIの案を精査・修正する」というより高度な編集作業に集中できるようになります。

3. Sophistication of Management Decisions Through Non-Financial Information DX

Improving the efficiency of non-financial information disclosure is not just about reducing administrative work. By rapidly generating narratives aligned with SASB and GRI, ESG risks and opportunities become visible in a timely manner as the "language of management."

A modern conference room in Tokyo. A large wall-mounted screen displays Japanese graphs showing energy usage and ESG score trends for domestic locations in Japan. In the foreground, a Japanese executive sits in profile, writing on documents while staring at a real-time non-financial analysis report projected on the screen. The room's lighting is subdued, making the screen's vivid data visualizations stand out impressively.

If predictions such as "at this rate, next period's SASB indicators will deteriorate" can be made in real-time, management can take swift corrective action. Companies lagging in digitalization tend to view disclosure as a "cost," but DX utilizing generative AI transforms disclosure into a "strategic weapon" to attract investors.

FAQ

Q. As a beginner, which should I prioritize first, SASB or GRI?
A. Generally, the standard approach is to start with GRI if you want to communicate a broad range of social contributions, or SASB if you want to prioritize evaluation from investors. Recently, as mutual cooperation between both standards has progressed, it is possible to output in both formats using AI once key data (such as greenhouse gas emissions) is gathered.
Q. Can the accuracy of text generated by generative AI be guaranteed?
A. AI is strictly a tool for drafting. By referencing centrally managed "facts (data)" on the platform as a source, the system suppresses hallucinations (falsehoods), operating on the premise of a workflow where humans perform the final review and revisions.
Q. How do you respond if the standards are updated?
A. This can be addressed immediately by updating the AI prompts (instruction sets) to the latest standards. Unlike manual creation, it is not bound by past formats and can generate structural drafts that always comply with the latest international standards.

Taking Your ESG Disclosure to the Next Level

Our expert consultants provide hands-on support, from understanding SASB and GRI standards to streamlining data collection and narrative creation.

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Popular Topics

#SASB for Beginners #GRI Standards #ESG Disclosure DX #Free Consultation

Summary

By 2026, non-financial disclosure operations are shifting from a phase of navigating complex "formats" such as SASB and GRI to "essential storytelling"—leveraging generative AI to articulate a company's unique value. By combining data visualization via centralized management platforms with AI-driven automated drafting, companies can not only reduce disclosure workloads but also enhance the sophistication of management decision-making. To turn complex international standards into a competitive advantage and achieve proactive sustainability management, the digital transformation (DX) of disclosure processes is now essential.

Published: September 17, 2026 / By: Osamu Yasuda
WRITTEN BY
Osamu Yasuda

Osamu Yasuda

Senior Managing Director & COO

Meets Consulting Inc.

Supported 100+ EC operations & logistics projects; specialist in operations and cost optimization

References

  • [1] SASB Standards Implementation Guide, Sustainability Accounting Standards Board.
  • [2] GRI Universal Standards 2021, Global Reporting Initiative.
  • [3] Research Report on Enhancing ESG Information Disclosure Using Generative AI, Meets Consulting Research.
Disclaimer: This article is for informational purposes only and is not intended to substitute for professional advice. It does not guarantee any specific results.