Quality Management (QMS)

A step-by-step QMS minimizes quality variation
and ensures consistency from pre-project analysis to post-project evaluation

Our step-by-step QMS systematically manages every factor affecting interpretation and translation quality—from pre-project analysis and expert selection to execution, review, and post-project evaluation—minimizing quality variation and ensuring consistency.

What Is the Quality Management Process (QMS)?

Interpretation and translation quality is managed throughout the process, not just in the final result.
From project intake and pre-project analysis to expert selection, preparation and review, on-site operations, and post-project evaluation, our step-by-step QMS ensures consistent quality and operational stability.

9-Step QMS Quality Assurance Process

STEP Quality Assurance Process Key Quality Controls
1 Project Intake Schedule · Language pair · Interpretation/translation mode · Event objectives · Client requirements
2 Project Complexity Analysis Subject matter · Technical complexity · Communication structure · Risk assessment
3 Expert Selection Experience · Subject-matter expertise · Relevant project experience · Project fit
4 Pre-Project Material Analysis Presentation materials · Source content · Specialized terminology · Proper names · Numerical data · Key content
5 Terminology & Quality Standards Terminology · Language conventions · Style guidelines · Client requirements
6 Preparation & Verification Interpretation preparation · Translation review · Final schedule and technical environment check
7 Interpretation & Translation Delivery Accuracy · Consistency · Clarity · Confidentiality standards
8 Quality Review & Monitoring Errors · Terminology consistency · Omissions · On-site issues · Quality variation
9 Post-Project Evaluation & Improvement Performance evaluation · Feedback integration · Project records · Continuous improvement

What Is the QMS · AI Interpreter Quality Matching System?

Rather than relying solely on individual interpreter capabilities, our QMS and AI-assisted analysis systematically match each project with interpreters based on their expertise, experience, and skill level.
This approach minimizes quality variation and maintains consistent interpretation standards throughout the project.

QMS · AI Interpreter Quality Matching System

Systematic quality management for optimal matching between project requirements and interpreter expertise

Category Analysis & Management Factors Application Criteria
Project Analysis Event objectives · Subject matter · Project complexity · Operating environment Assessment of project requirements and interpretation complexity
Interpreter Capability Analysis Expertise · Experience · Skill level · Relevant project experience Assessment of required competencies and project fit
QMS · AI Matching Project requirements × Interpreter capabilities Selection and assignment based on optimal fit
Quality Management Preparation · Delivery · Review · Post-project evaluation Systematic quality management beyond individual interpreter capabilities
Quality Outcomes Accuracy · Consistency · Operational stability Minimized quality variation · Consistent quality standards

※ Our QMS and AI-assisted analysis minimize reliance on individual capabilities, reducing quality variation and ensuring consistent interpretation standards.