How to Evaluate Sales AI in Your Team's Languages

A customer switches from English to Estonian to explain a requirement, then uses the English product name again. That is an ordinary business conversation, but it gives a transcription tool more to handle than a single-language demo.

When evaluating software for a multilingual team, use recordings that sound like your customers.

Include the details your team recognises

Choose recordings with local company names, product terms, prices and dates. Have someone who understands the language compare the transcript with the audio.

Check the speaker labels too. Correct words assigned to the wrong person can change the meaning of a commitment.

Look closely at language changes

Find the point where participants switch languages. Does the transcript preserve what they said? Does the speaker label stay correct? Note whether the language settings affected the result.

One recording can reveal an error worth investigating. It cannot establish a universal accuracy score for the language.

Read the summary and guidance in their own right

A supported transcription language doesn't tell you everything about the summary or live suggestions. Ask a fluent colleague whether the output captures the customer's meaning and whether a suggested response sounds natural.

For live guidance, timing matters as well as wording. Run a conversation to evaluate that part of the product.

Keep a record of the comparison

Save the recordings, settings, date and examples of errors. Use the same material across shortlisted tools so you can compare like with like.

Teneks focuses on business conversations in Estonian, Finnish, Polish, Latvian and Lithuanian. Upload a recording to inspect the transcript, or book a demonstration to discuss the team's languages and workflow.