Technology and quality control in language versions: AI speeds up, people decide

Working in many markets means hundreds of content versions a month. Without technology it cannot be done fast; without people it cannot be done well. We combine the two: AI and our own tools prepare first versions and variants, and people who know the language and the market decide what reaches customers.

What role does technology play, and what role do people play?

AI does not know that in your industry "service" means something different from the dictionary definition. A person does. That is why both are needed.

Technology does what is repetitive: first language versions, format variants, keeping to glossary terms, checking that nothing has been left out. People do what requires judgement: whether the text sounds natural, whether an example makes sense in a given market, whether the tone fits the customer, whether an argument is in the right place. Our process is built so that no version skips the human stage, and technology makes that stage faster and more accurate.

What does the process look like?

1. We prepare the source and the glossary. The master text is clear and structured, and the company glossary contains names and terms in every language. This is the foundation of quality.
2. Tools prepare the first versions. AI, with the glossary and a memory of the company's earlier texts, creates working versions with consistent terminology.
3. A person localises and checks. Someone who knows the language and the market reworks the working version and is responsible for how it reads. A second person checks it in the target layout.
4. We measure and refine the process. We record what the tools do well and what needs correcting, and tune the process so that subsequent versions are faster.

What do you get?

• language versions faster than in a traditional process, without losing quality,
• your company's glossary and translation memory, which grow with every project,
• a guarantee that every version has been checked by a person who knows the market,
• transparency: you know what technology did and what a person did.

When does this process matter most?

• when the company publishes regularly in several languages,
• when language versions are produced in a hurry and contain errors,
• when the company has tried machine translation and customers noticed,
• when the number of markets grows but the communication budget does not grow at the same pace.

Frequently asked questions