Can it actually book a job?
It collects the service type, address, and preferred times and creates a booking request for you to approve — so you stay in control of your calendar.
The AI does not auto-book confirmed jobs on your calendar. It collects service type, address, preferred times, and related details from the caller.
That information becomes a booking request for you (or your team) to review and approve in the dashboard.
You stay in control of capacity, pricing exceptions, and which jobs get confirmed. Until you approve, nothing is treated as a locked appointment.
The same request pattern applies when leads come in through other channels that create booking requests for your review.
Turn this guide into a working step
A help article becomes useful when you apply it to a real part of your operation. Open the matching dashboard page, make one small change, and verify the effect before moving to the next setting.
- Open the dashboard section named in the guide and compare what you see with the steps above.
- Use a realistic example from your business, such as one customer, one service, or one upcoming week.
- Ask a teammate to complete the same step and confirm they understand the result.
- Check notifications or the linked record afterward so the change is reflected where the team works.
If something looks different in your account
The exact label or placement can change when features are added or refined. Start by checking your plan, because some settings, channels, add-ons, and AI tools are only available after they are enabled for your company.
- Confirm the feature is active on your plan or add-on.
- Check whether the setting should be changed at company level, user level, or service level.
- Refresh the page and reproduce the issue once with a recent browser.
- Note the exact page, setting, and expected outcome before contacting support.
What to include when you need help
Write down the goal you wanted to accomplish, the steps you tried, the message or behavior you saw, and whether the problem affects one customer, one user, or the whole company. That context lets support connect the issue to the right setting instead of starting a generic investigation.
