Tech & AI Solutions
Automated Quality Assurance
Automated checks that catch common errors before they reach human review.
Automated quality assurance applies systematic checks to translated content before it enters the human review stage, catching errors that are time-consuming to find manually and would otherwise consume reviewer capacity on routine corrections rather than meaningful quality decisions.
Catch What Automation Can Catch, Free Humans for the Rest
Automated QA tools can reliably detect a defined set of error types — missing numbers, terminology mismatches, broken tags, inconsistent punctuation, and content that is significantly longer or shorter than expected. These are important errors, and catching them automatically reduces the burden on human reviewers.
Automated QA is not a substitute for human review. It is a first-pass filter that ensures reviewers can focus their attention on the judgments that require linguistic and contextual expertise rather than on routine formatting and consistency checks.
What's Included
A complete approach to automated quality assurance
Number and Date Checks
Automatic verification that numbers, dates, currencies, and measurements have been transferred correctly from source to target.
Terminology Checks
Verification that approved terminology has been applied correctly and that forbidden terms or unapproved alternatives are flagged for review.
Tag Validation
Verification that formatting tags, markup, and code elements have been preserved correctly in the translated output.
Missing Content Detection
Identification of segments where content from the source has been omitted or left untranslated in the target.
Consistency Checks
Detection of inconsistencies where the same source segment has been translated differently in multiple places across the content.
Human Review of Flagged Issues
Review of all issues flagged by automated checks by a qualified linguist before the content proceeds to the next workflow stage.
Process
How it works
QA Profile Setup
We configure the automated QA checks relevant to the content type, language pair, and quality priorities — selecting the rules that will add value without generating excessive false positives.
Integration with Production Workflow
The automated QA step is integrated into the translation workflow at the appropriate point — typically after translation and before human review.
Automated Check Execution
QA checks are run on completed translations, generating a report of flagged issues organized by type and severity.
Human Review of Flagged Issues
A qualified linguist reviews the flagged issues, distinguishing genuine errors from false positives and resolving the genuine errors.
Reporting and Profile Refinement
QA reports are produced for each project. Check profiles are refined over time to reduce false positives and focus on the most relevant error types.
Why Randa Translation
What sets our approach apart
Configured for Content Type
QA profiles are set up based on the specific content type and language pair, not applied as a generic default.
Human Review of Flagged Items
Automated flags are always reviewed by a linguist — we do not let automated decisions determine what is or is not an error without human confirmation.
Reduces Reviewer Burden
By catching routine errors automatically, human reviewers can focus on the linguistic and contextual judgments that actually require expertise.
Profile Improvement Over Time
QA profiles are adjusted over time to reduce false positives and improve the signal-to-noise ratio of the checks.
Build Quality Checks Into Every Workflow
Tell us about your content types, language pairs, and quality priorities. We will configure the right automated QA profile and integrate it into your production workflow.