Argos MosAIQ LQA

How LQA Works

1. Input
   Upload translated content, reference materials, and quality expectations.
2. Detect
   In a two AI agent review process, AI scans all content for terminology issues, stylistic deviations, grammar, and compliance risks.
3. Score
   Content is automatically scored against MQM and customizable frameworks.
4. Refine
   Human reviewers validate and adjust flagged items to ensure accuracy and fairness.
5. Deliver
   Receive detailed reports with actionable insights to improve quality across workflows.

Why LQA Matters

• Complete Coverage
  Assess 100 percent of content instead of relying on random samples.
• Measurable Quality
  Track quality scores with consistency across languages, projects, and vendors.
• Human-in-the-Loop
  Expert reviewers validate AI findings to guarantee accuracy and trust.
• Actionable Insights
  Identify recurring issues and optimize processes with data-driven feedback.
• Enterprise-Ready
  Secure, compliant, and designed for large-scale multilingual programs.
• Cost Savings
  Replace costly manual reviews with automated coverage that is more efficient and scalable.

Built for Teams Focused on Quality

• Localization Teams: monitor vendor performance with objective data
• Procurement: benchmark suppliers using consistent quality scores
• Content Owners: gain visibility into translation quality across all deliverables
• Executives: ensure compliance and protect brand reputation at scale

Experience the Difference

MosAIQ LQA turns quality into a measurable, manageable process. By combining AI-driven scoring with expert validation, you get the visibility and insight needed to continuously improve global content quality.

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