One suggestion would be to test the different Bot / ASR engines available in the Bot Flow (Default, Genesys Enhanced v1, v2, v3).
There isn't a single "best" engine that works for all organizations. In practice, each engine can behave differently depending on the org, language, accents, and specific use cases, so it's not possible to say in advance which one will perform better.
The safest approach is to:
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Change the default engine for the language
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Run controlled tests using the same utterances
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Compare transcription accuracy, intent confidence, and misclassification rates
Only through testing can you identify which engine works best for your scenario.
If this answer helps, please consider marking it as the best answer so others facing similar ASR challenges can benefit as well.
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Mateus Nunes
Tech Leader Of CX at Solve4ME
Brazil
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Original Message:
Sent: 01-14-2026 03:35
From: Anand Gangappa
Subject: Bot recognition issue
The bot is incorrectly recognizing "Year" as "Ear" or "Yeah."
ASR intent confidence is 0.5,
but classification fails by matching too many incorrect inputs. Still, if someone can suggest something else to avoid this failure, it would be great.
#CommunityQuestions(Contest,Community,etc.)
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Anand
NA
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