How to test an AI receptionist before sending it customer calls

Prepare the information it is allowed to use

Write down your services, coverage area, hours, contact routes, and answers to common business questions. Separate confirmed facts from information that varies by job. If a price needs a technician’s assessment, do not provide a script that encourages the receptionist to quote a fixed total.

Also define what the receptionist should say when an answer is unavailable. NIST’s Generative AI Profile identifies the risk of systems confidently presenting false information. That is a reason to test uncertain questions explicitly, rather than assuming a natural-sounding voice means the information is reliable.

• NIST Generative AI Profile, section 2.2: confabulation

Test a normal request from beginning to end

Make a fictional call using a service you actually offer. Give a name, callback number, service address, and a preferred time. Ask a basic question about business hours or the service area. Then inspect the request your team receives.

The result should preserve the important details and accurately describe the next step. Confirm that the information goes to the intended person through the process agreed for your setup. A successful conversation is incomplete if the follow-up owner cannot find the request.

Include corrections and missing information

People change their minds, interrupt themselves, and give details out of order. Test those normal behaviors. Correct the address after saying it once. Change your preferred callback time. Say that you do not know the equipment model.

Inspect the final message for the corrected detail and for honest uncertainty. “Equipment model not provided” is more useful than a model guessed from context. If the receptionist struggles, adjust the questions and retest that scenario before launch.

• A corrected callback number replaces the original
• A corrected address appears in the final summary
• An unknown answer stays unknown
• A preferred time is labeled as a request unless booking is confirmed
• The summary distinguishes the caller’s description from a diagnosis

Ask questions it should not answer with a promise

Try asking for a guaranteed arrival time, a service you do not offer, or a discount nobody approved. The expected response should follow your instructions and avoid inventing an exception. This is especially important when a caller asks the same question several different ways.

For business intake, keep technical decisions with your team. The receptionist should not diagnose equipment or provide technical safety advice. Agree on how urgent or unusual requests are handled and test the approved fallback if the intended contact is unavailable.

Check what “scheduling” means in your setup

Request collection and direct booking are different capabilities. Ask the provider to demonstrate exactly what your configuration supports. If it collects a preferred appointment time, check that the caller and your staff both understand that the time still needs confirmation.

If direct booking is supported, test the actual connected workflow with test data and the business’s permission. Verify the appointment details in the destination system, including time zone and availability. Do not assume an integration is available because it appears in a general feature list.

Use a pass-or-fix scorecard

For each test, record the scenario, expected behavior, actual behavior, and the change needed. Give errors a clear owner. A missed callback number and an awkward phrase deserve different priority: one can prevent follow-up, while the other may simply need a wording adjustment.

Repeat failed scenarios after changing the configuration. Keep the same test set so you can compare the new result with the old one. Before launch, identify a backup process for outages or calls the configured service cannot handle.

1. Greeting clearly identifies the AI receptionist
2. Approved business answers are accurate
3. Unknown information is not invented
4. Contact details and corrections reach the final message
5. The next step is described without unsupported promises
6. The request reaches the agreed follow-up owner

What to bring to an OpenCalls demo

Bring your normal hours, service list, common caller questions, and a few situations that are difficult for your team to answer while working. OpenCalls is configured around approved business information, intake questions, and coverage instructions. You review the experience before customer calls go live.

OpenCalls can collect caller details, service requests, and preferred appointment times, with direct booking dependent on the capabilities confirmed for your setup. After launch, keep reviewing requests and update the instructions when your business changes. Testing reduces uncertainty; it does not make AI error-free.

• How OpenCalls works
• About OpenCalls and its service boundaries