Still Using Word for ESG Data? Sustaihub Syber Sustainability Management System: Digitalization and AI Empowerment

Completing Sustainability Reports: GRI Standards Compliant and TWSE ESG Indicator Reporting

According to the Taiwan Stock Exchange's "Regulations for Listed Companies to Prepare and File Sustainability Reports," listed companies must complete and publish their sustainability reports by August 31 of each year. The content must be prepared according to GRI Standards with a complete content index, fully disclosing climate-related information, and certain industries must also undergo third-party verification. Meanwhile, the TWSE ESG reporting indicators have expanded from 29 to 97 items, covering more industry-specific topics.
Under these circumstances, relying on manual Word and Excel processing will increasingly fail to meet the ever-stricter reporting requirements.

How Syber Helps Companies Achieve Compliance Quickly

1. Built-in GRI indicator collection templates—unified fields, standardized formats.
2. Built-in GRI indicator content—aligned with chapter structures and disclosure requirements.
3. Download TWSE 97-item ESG reporting Excel—collect data while cross-referencing reporting content.
4. Provides ESG report templates and examples—accelerate drafting and lower preparation barriers.

🔐 More features to unlock: version and audit trail retention, third-party verification evidence compilation support.

Traditional Pain Points: Why is ESG Report Preparation Time-Consuming and Labor-Intensive?

Data must be collected from various departments, content must comply with GRI, SASB, TCFD, or IFRS S1/S2 standards, and you must constantly track regulatory announcements. Excel files alone can reach 30 tabs, and before submission, you need to repeatedly check and correct data—time-consuming and exhausting.

Syber Solution: Three Application Scenarios for Digitalization × AI

The following common scenarios illustrate how Syber uses ESG AI to structure data, reducing rework and labor costs.

1) How to Effectively Integrate Multi-Site Data?

Challenge: Raw data from cross-site/cross-subsidiary sources is scattered, with low integration efficiency.

Syber Solution: Each unit reports online and uploads data; the system automatically consolidates it into standardized tables that "align with corporate structure"; AI further converts data into professional text descriptions, reducing manual editing time.
Application Example:

Total emissions in 2023 were 50,000 tCO₂e. Based on the 10% reduction target, emissions should be controlled at 45,000 tCO₂e. The current Scope 1 and Scope 2 combined total is 32,000 tCO₂e, already below the target, indicating our company has achieved its carbon reduction goals.

2) How to Quickly Adjust Report Text Content?

Challenge: After years of preparation, you want to improve text expression and structure but lack clear direction.

Syber Solution: AI Writing Assistant provides instant professional optimization suggestions—no complex setup needed, one-click editing produces text with consistent tone and clear hierarchy.
Application Example:

• Before editing: Lengthy paragraphs, scattered key points, readers struggle to grasp the core.
• After editing: Clear chapter hierarchy, concise and powerful text, clearer report structure.

3) How to Quickly Start New Chapters from Scratch?

Challenge: Annual material topic changes (e.g., adding "Biodiversity"), unsure how to begin.

Syber Solution: Enter basic company information and requirements, and AI automatically generates approximately 70% of correctly formatted drafts according to chapter structure; handlers then make adjustments based on actual situations.
Application Example: When adding "Biodiversity," the system can automatically include the company name (e.g., Sustaihub Co., Ltd.) and generate common management approaches as a draft foundation, quickly starting the writing process.

Why is ESG Best Suited for AI Collaboration?

The essence of ESG is "massive data × multiple framework standards × high collaboration × auditability." AI perfectly addresses four pain points: structuring data, codifying standards knowledge, streamlining collaboration processes, and documenting audit evidence.
Combined with Syber's permission management, tiered review, template library, and AI writing capabilities, ESG operations can transform from "high workload, error-prone" to "highly efficient, traceable," achieving compliance and quality simultaneously.

🚀 Try Now: See How Sustaihub Syber Breaks Through Past Report Preparation Challenges

👩🏻‍💻Explore More Features, browse the feature overview and examples, evaluate the most suitable implementation approach

Syber ESG System ESG Report ESG Digital Platform Syber Free Version