Someone on your team gets an email in Spanish, drops it into a translation tool, and moves on with their day. Another employee uses a chatbot to draft a reply to a supplier overseas. Neither thinks they’re making a big technology decision. They’re just trying to get something done before lunch.
That’s the starting point for your policy. AI translation is convenient, and waiting for formal approval probably isn’t part of anyone’s routine yet. The broader workplace picture supports that: AP reported that 12% of employed American adults used AI daily, according to a Gallup survey.
That figure covers AI generally, rather than translation specifically. Still, it’s a good reason to ask what your employees already use. As a Language Service Provider (LSP), we see AI changing translation workflows, and your policy needs to reflect everyday habits.
Have A Conversation Before Writing Rules
You’ll learn more by asking your team how they handle language barriers than by announcing restrictions out of nowhere. Talk with customer service, sales, HR, and anyone who regularly works across languages. Ask which tools they use, what they translate, and where the results end up.
Keep the conversation curious. If someone has been translating supplier messages for months, you want to understand why that works for them and what might be missing.
Translation providers are making these decisions, too. Slator reported that 54 of 114 respondents to the ALC Industry Survey confirmed using AI translation.
Your next step is to connect those habits to a clear translation process. Who requests the work? Who checks it? Who decides it’s ready to send? Those answers give your policy a useful foundation without making every email a project.
Make Approved Tools Easy To Find
“Use AI responsibly” sounds reasonable until someone needs to translate a document in five minutes. Your employees need actual tool names, access instructions, and a person to contact when something doesn’t work.
Have your IT and privacy teams review the specific products and account types you’re considering. They should check how uploaded content is stored, whether it can be used for model training, who can access it, and what deletion options exist. A paid account alone doesn’t answer those questions.
Make translation confidentiality part of the conversation from the beginning. State plainly which information employees must keep out of unapproved tools, including customer details, employee records, contracts, and unpublished business plans.
Give people a workable alternative for sensitive material. If the approved route is confusing or slow, they’ll be tempted to use whatever is already open on their screen.
Match The Review To The Consequences
Reading a public news article for background is different from translating instructions that someone will rely on to operate equipment. Your policy should help employees recognize that difference without asking them to become translation experts.
You might allow approved AI tools for getting the gist of public, low-risk material. Customer messages, product descriptions, and other content leaving your business should follow a defined review process. Contracts, medical information, safety instructions, and sensitive HR communications need qualified professional involvement before anyone relies on them.
We always consider what could happen if a translation gets something wrong. That’s more useful than judging it by how smooth it sounds. Some AI translation limitations are easy to miss when you don’t speak the language.
Tell your team who can approve each kind of content and how to request that review.
Show People What Checking Really Means
A quick glance won’t establish whether a translation is accurate, especially if the person checking it only knows the original language. Your policy should explain what review involves and who has the language skills and subject knowledge to do it.
Give reviewers the original text, the intended audience, and any approved terminology. Ask them to check meaning, missing information, numbers, names, tone, and formatting. Recognizing translation quality takes more than spotting typos.
A short training session can make this practical. Use examples your employees recognize, such as a shipping update or a customer complaint. Walk through what they can translate themselves and when they should ask for help.
We’d also encourage you to make reporting mistakes easy. Employees should know whom to contact if they upload sensitive information or send an unchecked translation.
Keep The Policy Useful As Things Change
Put the everyday rules somewhere people can find them, name an owner, and set a review date. As your business adds languages or publishes more content, website translation needs may change, too. We recommend checking whether the process still helps your team get work done safely.
Is your company a frequent user of AI translation? Do you need some advice on best practice that’s contextual to your business? If so, we’d love to talk.
Consultations are free and there’s no obligation. You’re in safe hands with us as we’re ISO 17100 and ISO 9001 compliant, have over twenty years of professional translation experience, and have earned the trust of organizations around the world.
