AI QA: Pre-Delivery Intelligent Quality Check for Terminology, Numbers, and Omissions
For freelancers and QA reviewers: automatically check terminology consistency, number accuracy, omissions, and semantic drift, with structured reports.
Before
Pre-delivery checks required manually reviewing termbases, verifying numbers segment by segment, and hunting for omissions. A 30K-word project took half a day to QA. Number errors and omissions were the top reasons for client complaints.
Workflow
Run AI QA in Trados Studio and select check categories: terminology, numbers, omissions, and semantic risks. The AI analyzes each segment and generates an issue list with type, location, and suggested fixes, exportable as a report. Reviewers confirm each item before delivery.
Outcome
QA time dropped from half a day to under 1 hour. Number and omission-related client complaints decreased by over 80%.