The Challenge
A global travel company that manages over 1.5 million translated words and more than 250 travel blogs struggled to maintain consistent quality as demand scaled across regions and languages.
The client’s existing quality assurance (QA) process relied entirely on human linguistic review, which was time-consuming, expensive, and only covered a small (250 blogs) sample of content. The team didn’t have time to check most translations, and without standardized scoring, reviewers often disagreed on what counted as an error. That led to inconsistent evaluations, missed issues, and limited insight into overall translation quality.
As content volumes increased and timelines remained tight, the company needed an affordable, scalable way to assess quality across all content. Spot-checking wasn’t enough. They also had to maintain consistency across teams and languages without sacrificing speed.
The Solution
The team implemented MosAIQ LQA, a solution that combines automated error detection with human-in-the-loop validation.
Assess 100% of Content
This hybrid approach enabled full content assessment—not just samples. MosAIQ’s flexibility helped prioritize accuracy and terminology over minor stylistic differences.
Structured Reports
Structured reports simplified error tracking, revealed quality trends, and aligned internal and external teams, supporting continuous QA improvement.
Pattern Detection
The reporting helped the team spot patterns in the data, understand where quality was slipping, and make changes that improved the QA process.
Quality Assurance
Argos brought in Chillistore, a specialist in localization quality, to align the scoring model with industry standards, reduce language inconsistencies, and build reviewer trust in AI feedback.
The Results
By moving from manual sampling to full-scope, AI-assisted review, the client was able to review more content in less time, keep results consistent, and track quality across teams and languages, all within their existing budget.
| Result | Detail |
|---|---|
| 1.6 million | words reviewed across all languages |
| 85% reduction | in time and cost compared to traditional LQA |
| 100% content coverage | compared to 10–20% in traditional models |
| Faster | time per language – down from 200 hours to just 25–30 |
| Comprehensive | identification and resolution of quality issues |
Clients using MosAIQ achieve cost and time savings ranging from 25% to 85%, depending on content volume, complexity, and quality requirements. Actual results may vary based on industry, regulations and workflow configuration.
Leading the Way with AI-Powered Linguistic Workflows
Argos is leading the way in bringing AI into the heart of localization with MosAIQ, an enterprise-grade platform designed not just for quality assurance, but for transforming the entire linguistic workflow.
MosAIQ goes beyond basic quality checks. It’s a comprehensive suite of AI-powered solutions built to support the entire localization process, from pre-editing and automated error detection to review, scoring, and feedback integration. By embedding automation intelligently and keeping humans in the loop where it matters most, MosAIQ helps linguists work faster and more accurately while maintaining full control over quality.
MosAIQ is redefining what scalable, intelligent localization looks like, while giving teams a practical way to keep up with growing demand without compromising on quality or consistency.
MosAIQ helps localization teams move faster, review more, and maintain consistent quality—at scale. It gives teams specific, reliable insights about quality, so they can make targeted improvements where it matters most.
