AI front desk development
An AI front desk that gives inquiries a clear next step.
TDAT builds AI front desks to answer approved questions, capture requests and connect supported appointment workflows. Hire us to define the rules, implement the integrations and test the handoffs before launch.
Book a 30-minute project call to discuss your workflow and scope.
Start with what happens after someone asks.
A quick reply helps only if the request moves somewhere useful. An answer, a saved request and a confirmed appointment are different outcomes. The workflow needs to make that difference visible to the customer and your team.
Take an after-hours appointment request. The assistant needs the service, duration, staff availability and booking rules. If the calendar cannot confirm a slot, the useful next step is a request waiting for staff confirmation, with an owner and a follow-up path.
TDAT maps that journey before building: which questions the assistant may answer, which actions it may take, where the record is saved and who handles exceptions. That gives the implementation a concrete definition of done.
Answer from approved information
Use current hours, services, locations and pricing rules. Decide who updates that information and what the assistant should do when the answer is missing.
Capture an actionable request
Record the request and the agreed contact details in the system your team uses. A conversation transcript alone does not assign responsibility or confirm that someone will follow up.
Confirm an authorized action
Check availability and permissions, submit the booking and inspect the returned result. Customer-facing confirmation should reflect what the connected system actually saved.
Illustrative conversation
Show the customer what is actually confirmed.
This written example shows one possible appointment flow. It is not a live assistant, a customer conversation or evidence of an installed calendar connection.
The important step is the save result. If the provider times out or rejects the appointment, the assistant should explain that confirmation is pending and pass the request to staff. Retrying a booking needs a duplicate check.
Customer: Can I book an appointment tomorrow?
Assistant: Which service do you need? I can check the available times.
Customer: A consultation at 10:30, if that is available.
Illustrated system step: check the service rules and availability, submit the appointment, and receive a successful booking reference.
Assistant, after a successful save: Your consultation is confirmed for 10:30 tomorrow. Here is your booking reference.
Example ends here. No real appointment has been created.
What TDAT takes responsibility for.
A scope tied to your actual systems. We review phone routing, messaging and calendar access, then define the channels and actions included. A request-only workflow can be a useful first release when direct booking is not supported.
Rules your staff can review. Agree approved answers, operating hours, customer permissions and opt-outs, handoff destinations and who maintains the business information. Sensitive or unsupported requests need a clear boundary.
Acceptance checks before launch. Review routine questions, unavailable slots, changed appointments, provider failures, duplicate requests and staff escalation. Decide what counts as a successful save and what should remain pending.
A usable handover. The agreed deliverables include operating instructions, account responsibilities and a way to inspect failures. The proposal separates implementation, provider charges and ongoing support, with timing based on scope and access.
For an example of TDAT's voice-agent work, read the UpGig case study and its candidate phone-screening workflow. Your front desk needs its own integration scope and acceptance checks.
Questions before you hire us.
Can an AI front desk work with my existing phone and calendar?
That depends on the providers and the access they support. TDAT checks call routing, messaging, calendar permissions and booking rules before proposing an integration. Where a direct connection is unavailable, the scope can use a recorded request and staff handoff instead of claiming an appointment is booked.
What happens when it cannot answer a question?
Define that boundary before launch. The assistant should use approved business information, ask for clarification when useful, and route unsupported questions to a named person or queue. The handoff needs the customer request, contact details and an owner who can follow up.
Will this guarantee more bookings or fewer no-shows?
No. Response coverage, reminders and follow-up can support the booking process, but results depend on demand, availability, the offer and customer behavior. Agree what to measure, such as requests captured, confirmed appointments, failed writes and unresolved handoffs, then review the actual results.
What will TDAT deliver, and what will it cost?
The proposal defines supported channels, integrations, approved answers, booking permissions, human handoffs, acceptance checks and ongoing responsibilities. Implementation price, provider charges, support and launch timing are agreed after the current workflow and access have been reviewed. The first project call is for discussing that scope.
Hire TDAT to build the workflow and test it.
Bring the inquiry or booking process you want taken off your team's hands. We will discuss the current systems, the result you need and a practical first scope on a 30-minute project call.
Hire TDAT to build your front desk