How to test an AI workflow in more than one language
A working pilot in one language gives you a starting point for another market. Add local reviewers and a separate test group before treating it as ready. A request may be grammatically clear while the meaning of a service, product size or deadline changes across regions.
Build the test around one job
Consider a manufacturer whose assistant organizes warranty requests in English and Spanish. Collect examples from each market with permission. Include abbreviated product names, a customer forwarding a dealer’s reply, mixed language messages and common local terms for a defect. Where possible use original messages rather than translations of the same English sentence. Remove details the reviewers do not need.
Have a bilingual reviewer define what a correct result includes. For a warranty request, that may be the right product, purchase date, reported symptom, units of measurement and responsible service team. Keep the original wording alongside the summary so a specialist can inspect uncertain phrases. A translation that sounds fluent can still reverse who performed a repair or change the implied unit.
Decide when to involve a person
Create a glossary for product names and local service categories. Write a clear rule for ambiguous dates, unclear units and words that may refer to more than one part. The reviewer should be able to flag one field without discarding the whole request.
Track errors by language and by decision. A combined average could hide poor routing for a smaller market. If product identification is reliable but warranty interpretation varies, launch the product extraction step for that market and keep a local reviewer on eligibility. Set an owner for glossary changes whenever new products or regional policies are introduced.
Put this into practice
Bring a sample of the work and the tools your team uses. We can help define a first project, who reviews it, and how to tell if it works.
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