The AI-generated translation review process consists of specialized human analysis and post-editing of texts automatically translated by artificial intelligence tools, correcting inaccuracies, cultural and contextual nuances to achieve professional quality.

• Main Steps

It begins with a side-by-side comparison of the original text and the AI output to detect semantic, grammatical, or idiomatic errors common in automated models. This is followed by manual editing for cultural adaptation, terminological standardization, and improvement of natural flow, followed by peer review or final self-assessment with quality metrics.

• Technical Requirements

It utilizes hybrid platforms with AI integration (such as SDL Trados or MemoQ), customized glossaries, and automatic verification tools to accelerate the detection of inconsistencies, ensuring compliance with ISO 17100 standards adapted to AI-assisted workflows.

• Advantages

• Advantages

It combines the speed of AI with human precision, reducing costs for high-volume translations and increasing reliability for sensitive technical or commercial content.