Next-Generation Safety Document Control
Managing document revisions in Safety, Health, Environment, and Quality (SHEQ) is a high-stakes process. Empower your revisions with a professional AI Mascot designed specifically for Japanese SHEQ compliance.
EHS Department
Assess impact on safety procedures, legal compliance, and risks.
Quality Assurance
Evaluate impact on SOPs and inspection standards.
Production
Check impact on work instructions and shop-floor operations.
Maintenance
Identify impact on equipment and maintenance procedures.
The Human-in-the-Loop Co-Pilot
9 Pillars of Our SHEQ Implementation
Evidence & Traceability
Our Agentic RAG model searches hundreds of complex pages instantly. It prevents hallucinations by providing direct links to the specific chapter and page of the source document.
Contextual Dependency
Using Knowledge Graphs, the AI understands that a change in a "High-Pressure Gas" protocol automatically affects environmental reporting and quality control steps.
Regulatory Adaptation
Integrates external regulatory data to flag if a revision conflicts with Japanese laws (Industrial Safety and Health Act) or JIS/ISO standards.
Role-Based Access Control
Strict data segregation ensures confidential data, such as accident investigations, is only visible to authorized personnel.
Timeline & Versioning
Performs difference analysis, comparing new proposals against existing versions to summarize exact changes and departmental impacts.
Enterprise-Grade Security
Your proprietary SHEQ documents operate in a private cloud environment, ensuring your data is never used to train global AI models.
Consensus Workflow
The AI functions as a workflow initiator, proactively suggesting review requests for relevant department managers based on its findings.
Company Glossary
Trained on your specific local jargon and "company dialects" to prevent search misses between the factory floor and the front office.
Real-Time Analytics
Management receives a real-time dashboard to discover bottlenecks, popular questions, and sentiment analysis to measure user satisfaction.
Use Case: Impact Analysis During Revision
How the AI handles a document change workflow.
1. Input
The human user uploads the proposed document change. The AI analyzes the draft for key updates and risks.
2. Impact Search
The Mascot generates a list of related sections across company manuals. The human verifies the relevance.
3. Dept Targeting
The AI explicitly identifies which departments are affected. The human confirms and sends formal inquiries.
4. Reporting
The AI drafts a comprehensive summary of the impact scope. The human reviews, edits, and submits.
5 Steps to Launch Your Pilot Project
Define Scope & KPIs
Narrow the focus to a critical overlap area, such as "Chemical Substance Management." We will measure success by tracking time reduction in departmental impact searches and the accuracy of identifying oversights.
Data Structuring & RAG Setup
We organize and chunk your hierarchical SHEQ documents by meaningful sections (Chapters/Clauses) and tag them with metadata (Responsible Department, Related Regulations) so the AI understands your company's structural context.
Persona Design & Prompt Engineering
We define the logical "Chain of Thought" for the AI and tune its character to be a "Humble yet Precise Partner," combining your brand identity with our expressive 3D character design.
Blind Testing with Internal Experts
We run a real-world document revision test, comparing manual human discovery against the AI Mascot's automated impact list to fine-tune prompts and eliminate knowledge gaps.
UI Refinement & Feedback Loops
We finalize the interface with "Helpful/Not Relevant" feedback buttons to continuously train accuracy. The Mascot UI will visually explain its logic, explicitly stating why it flagged specific departments or documents.
Ready to elevate your SHEQ compliance?
Stop leaving document revisions to chance. Empower your teams with a professional AI Co-Pilot that never misses a detail.
