AI Front Desk Employee
Answers every call, books and reschedules appointments, and handles the questions your desk gets all day. The first role we ship, starting with clinics.
Dialgentic builds AI Employees: trained on your business, on the phone around the clock, fluent in your customers' languages. You stay the manager. Every call it takes is logged for your review.
Clinics live and die by the phone. Every missed call is an appointment that books somewhere else, and no desk can cover the lunch rush, the evening, and six languages at once. So the first role we ship is the front desk, for the businesses that feel it most.
Healthcare first. Each new vertical gets the same platform, trained for its own front desk.
Choose the role you need filled: front desk, receptionist, sales. You hear it handle your scenarios before it ever takes a real call.
Give it your services, prices, policies, and calendar. Upload documents or point it at your site. It answers from your knowledge, not from guesses.
It answers, books, qualifies, and follows up. The moment a conversation needs human judgment, it hands off to your team with the full context.
Every call comes back transcribed and summarized. Review its work the way you'd review anyone's, and tighten its rules whenever you want.
Real turn-taking. Interrupt it and it stops. It pauses, says "mm-hm," and answers fast enough that most people forget they're talking to software. Pick the voice, set how warm it sounds, and it adjusts its tone to whoever's on the line.
Answering politely is the easy part. It books the appointment against your real availability, confirms it on the call, and goes back for the people it couldn't reach at a better hour. Nothing waits on someone remembering to call back.
Every call is recorded, transcribed, and summarized. Set hard rules it can't cross, so anything sensitive goes to your team, and read back exactly how any conversation went. It's not a black box.
We'd rather tell you this now than surprise you later. Ask us about any of these and we'll be straight about timing.
Callers are told they’re speaking with an AI Employee, in wording you approve. No pretending.
Hand-off to your team is built in: set hard rules it can never cross, and anything sensitive goes to a person.
A fallback number, usually your existing line, is mandatory. Calls never hit dead air, even if we do.
Every change to how your employee behaves is evaluated against your scenarios before it can take a call.
Calls are transcribed, summarized, and logged. You can audit any conversation, any time.
Do-not-call requests, calling hours, and recording-consent rules are respected per region, automatically.
Each business runs in its own isolated tenant with its own private knowledge base. Calls are encrypted in transit and access is controlled.
Multi-tenant architecture with no hard dependency on any single AI vendor. The parts underneath can improve without your employee changing jobs.
Formal certifications like SOC 2 aren't in place yet. We're pursuing them as we grow, and we'll say so plainly until they are.
Answers every call, books and reschedules appointments, and handles the questions your desk gets all day. The first role we ship, starting with clinics.
Greets callers, answers what it can, routes the rest with context.
Calls new leads in minutes and books the meeting.
Answers from your docs; hard ones go to your team.
Reservations, hours, menus, and the waitlist.
Responds to inquiries, qualifies, books the viewing.
We don't publish fixed prices. Every quote is scoped to the role you're filling, your call volume, and your languages, so you pay for the job, not for seats.
For hiring your first AI Employee
For a small team of AI Employees
For a workforce across locations
A business owner sees the customers who show up. They never see the ones who called at 8:40pm, got voicemail, and booked with the place down the road. That call was paid for twice: once in advertising, once in the empty slot. The research agrees with the feeling: reach a new lead within five minutes and you're about 21 times more likely to qualify them than if you wait half an hour (MIT/InsideSales.com).
And you can't hire your way out: nobody can staff every hour of the week, in six languages, for what a front desk pays. That's not a management failure. It's arithmetic. It's also why we build AI Employees. We're working with our first partners now. Want to be one?
No. The first work an AI Employee takes on is the work nobody could take: the 9pm call, the lunch-rush overflow, the caller who speaks a language your desk doesn't. Your team stays in charge and keeps the judgment calls. The AI Employee keeps the phone covered.
Tell us about your business and we'll introduce you to the role. You hear it handle your scenarios before you decide anything.
What happens next: a 20-minute call, then a live demo against your real scenarios. No commitment, no setup fee to find out.