Hi Shane,
I went through a very similar scenario and ended up implementing a pattern that might help in your case.
From what I could validate in the Genesys Cloud behavior, there isn't a native way to directly capture the raw utterance from an Ask for Intent when it falls into a No Match and store it as a variable in Architect. The utterance is visible in Utterance History, but not exposed directly as a reusable variable in the flow.
What worked well for us was combining Ask for Slot with event handling:
- In the bot flow, we use an Ask for Slot to capture what the caller says (even if loosely structured).
- We avoid handling No Match directly inside the action (no reprompt or minimal retry), so we don't "trap" the flow locally.
- Instead, we let the bot fall through to the Recognition Failure event handling.
- In the Recognition Failure, we route to a Reusable Task.
- In that task, we play a more natural prompt (e.g., "Sorry, I didn't quite get that, could you repeat?") and attempt to collect the input again.
- The slot used for capture is configured as an output of the bot flow.
- Back in the inbound flow, we bind that output to a variable and pass it to the agent script (via participant data).
This approach gives you two benefits:
- You centralize your "didn't understand" experience using Reusable Tasks, which keeps the bot consistent and easier to maintain.
- You still capture what the customer said and make it available to the agent, even in scenarios where intent recognition fails.
One important detail: if you configure a Max No Matches path inside the Ask for Slot, that path will typically take precedence, and the flow may not reach the global Recognition Failure handler. So it's best to choose a single strategy-either handle it locally in the action or centrally via event handling.
In our case, letting Recognition Failure handle it gave us more control and a cleaner design.
Hope this helps!




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Fernando Sotto dos Santos
Consultor de Atendimento Senior Grupo Casas Bahia
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