Before accepting an AI receptionist pilot, write down the calls it should handle, the response you want and what actually happens during testing. Keep those three fields separate. A convincing demonstration is less useful than a test record you can repeat.
Define one result for each test call
Start with a small set of fictional caller questions drawn from your business rules. For each question, record the permitted answer, information to capture and next step. Confirm with the provider which features are in the pilot’s scope before treating them as requirements it can meet.
| Test case | Desired response to test | Your observed result |
|---|---|---|
| Hypothetical caller asks for a price you have not approved. | Explain that a quote needs confirmation and offer the agreed next step. | Record what happened; leave blank until tested. |
| Hypothetical caller asks for a person. | Use the agreed human fallback, if included and available. | Record whether the fallback worked. |
| Hypothetical caller gives incomplete contact details. | Ask for the missing information permitted by your intake rules. | Record what was captured and what was missed. |
Test the fallback, not just the happy path
Write down what should happen when the system cannot answer, a transfer is unavailable or a booking request cannot be completed. Test only features agreed for your pilot. A proposed transfer or booking scenario is not evidence that an integration is connected or reliable.
Zippyglow describes its phone-agent offer as a custom pilot to validate before launch. Its service page also states that provider subscriptions, numbers and usage fees are separate.
Keep a correction log and retest
Use columns for test case, expected response, observed response, correction and retest result. As a clearly hypothetical entry: “The test missed a contact detail; adjust the intake rule and repeat the same call.” This describes a test method, not an actual customer outcome or completed correction.
Agree which failures must be resolved before launch. An owner’s pilot acceptance record concerns their own deployment; it is not a claim that Zippyglow has already completed or proven a particular setup.
Discuss a scoped pilot
Bring your proposed questions, fallback rules and test sheet when you discuss a phone-agent pilot with Zippyglow. Ask what can be tested, which connections are needed and which charges are separate before agreeing to a scope.
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Start by testing with fictional but realistic caller scenarios to ensure safety and clarity. Clearly define the expected AI response for each specific scenario you have created beforehand. Listen carefully and record exactly what the AI says during these controlled tests. Log any discrepancies, make necessary corrections, and retest until observed matches expected. Ensure the system triggers a fallback to a live agent when the AI cannot handle the query. Finally, document your formal acceptance of the validated workflow with proper sign-off.