When to use AI in Translation

Diagnostic Tool

When to Use AI in Translation

Step 1 of 6 · Content type

What kind of content is this?

Internal or operational (notes, internal updates) Marketing or brand Technical or instructional (manuals, training) Legal or contractual Healthcare or clinical (may contain patient information) Regulatory or safety (labeling, instructions for use)

Step 2 of 6 · Audience

Who will read it?

Internal staff General public Customers or patients Regulators or auditors Children or other vulnerable readers

Step 3 of 6 · Sensitivity

Does it contain sensitive or regulated information?

No sensitive information Personal information (names, contact details) Protected health information Safety-critical instructions Financial or legal exposure

Step 4 of 6 · Volume and timeline

What is the scale and deadline?

Low volume, flexible timeline High volume, flexible timeline High volume, tight deadline Ongoing or continuous

Step 5 of 6 · Review and correction

Who reviews and corrects the AI output before it is used?

A professional translator who meets ISO 17100 and 18587 qualifications A bilingual staff member who is not a professional translator No human review Not sure

Step 6 of 6 · Error tolerance

What happens if there is a translation error?

Minor inconvenience Confusion or rework Compliance or legal risk Patient safety or physical harm

Final Step · Where should we send your analysis?

Enter your details to reveal your custom diagnostic results instantly.

Your Result

Strong fit

AI translation is a strong fit for this content. The risk is low and you have qualified review in place. AI can speed this up and lower cost without putting much at stake. The step that protects quality is having a professional translator correct the output before it ships.

Mixed fit

AI translation can work here, but only with the right controls. This content carries enough sensitivity or consequence that the AI output needs correction by a professional translator who meets ISO 17100 and 18587 qualifications before it is used. Skipping that step is where this kind of project goes wrong.

Not a fit

Take the AI Translation Risk Check Test Talk to a specialist

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