Sometimes the best solution isn’t to start again, but to make sure the AI has done the job properly.
Over the past couple of years, more clients have started experimenting with AI to translate their documents before contacting a professional translation provider. One of the questions we are asked most frequently is whether it still makes sense to involve human translators once an AI system has already produced a first draft.
A recent project provided a good example of how flexible the translation process can be. The client had around eighteen training documents, including PowerPoint presentations and Excel files, and had already translated them using AI. Rather than asking us to start the translation again from scratch, they wanted to know whether experienced native translators could review the existing versions and confirm that they were suitable for publication.
After discussing the project together, we agreed that this approach was entirely appropriate.
Our translators compared every AI-generated translation against the original English text, making sure that no information had been omitted, that the terminology remained consistent throughout the material and that the context had been interpreted correctly. They also adapted the language wherever necessary so that the final text sounded natural for the intended audience rather than simply being a literal translation.
This is why reviewing AI translations is often much more complex than people imagine. The task is not simply to correct spelling mistakes or grammar. Translators must constantly compare two versions of the same document, identify subtle differences in meaning, verify technical terminology and decide whether the style, tone of voice and level of formality are appropriate for the people who will eventually read the content.
For some projects, this hybrid approach offers an excellent balance between efficiency and quality. Clients can benefit from shorter turnaround times while still receiving the reassurance that every document has been reviewed by experienced professionals who take responsibility for the final result.
This is one of the reasons why we prefer not to think in terms of fixed services. Every client has different priorities, whether they relate to budget, deadlines, quality requirements or internal processes. Our role is not simply to translate documents, but to help clients find the workflow that best suits their particular project.
As AI continues to evolve, this type of collaboration between technology and human expertise is likely to become increasingly common. Rather than replacing professional translators, it creates new ways of working together to achieve the best possible outcome.