Match the request to the right appointment
Clarify which of your hvac repair, plumbing repairs, and electrical troubleshooting options fits before offering an available next step to contractors customers.
Purpose-built for contractors. OpenTulpa's booking bot handles scheduling in every chat channel: checks live availability, books appointments, sends reminders, and cuts no-shows — without manual effort.
Turn scheduling conversations into complete booking requests with the service, timing, and customer details your team needs. This version is shaped around hvac repair, plumbing repairs, and electrical troubleshooting workflows common to contractors.
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Practical jobs
Repeatable customer-message work with clear boundaries and a defined next step.
Clarify which of your hvac repair, plumbing repairs, and electrical troubleshooting options fits before offering an available next step to contractors customers.
Capture preferred dates, time windows, location, provider preferences, and other rules that affect the slot.
Guide confirmation, rescheduling, or cancellation requests through the workflow you configure, escalating exceptions.
Quote requests coming in while the crew is on-site (missed calls and unanswered messages)
After-hours emergencies and urgent inquiries not responded to quickly enough
Service-area and scheduling details require back-and-forth that eats staff time
Customers abandon when they don’t get an instant estimate or next available visit time
Manual follow-up on leads causes slow response and lost jobs to faster competitors
Industry insight
Home-service inquiries often arrive while technicians are on jobs or after office hours, when collecting service-area, timing, and issue details is difficult.
How it works for contractors
When a homeowner messages your contractor account asking for an urgent repair or a quote, your booking assistant captures the key details (service type, address/service area, timeline, and urgency). It then checks availability, proposes appointment windows, and schedules an estimate visit. The customer receives an instant confirmation and reminder — so the job is booked before the lead has time to shop around.
Customers book by chatting naturally — no forms, no friction, no phone tag. The assistant handles time negotiation, service selection, and booking confirmation in one seamless conversation.
Connects to Google Calendar, Calendly, Outlook, or your existing booking system to always check and show accurate, live availability.
Sends booking confirmations and multi-step reminders via SMS, email, or messaging apps at intervals you choose — dramatically cutting no-show rates.
Customers can reschedule or cancel through the same conversational interface — no staff involvement needed. Your calendar updates instantly.
Knows your complete service list, pricing, and session durations. Recommends the right service and handles buffer time between appointments automatically.
Routes bookings to the right team member based on service type, location, availability, or customer preference — with zero double-booking risk.
Information collected
Collect only the details needed to answer, qualify, schedule, or hand off the request.
Setup requirements
Honest limitations
Human handoff
OpenTulpa should handle repeatable chat work and give contractors teams context, not block customers from reaching a person. You define the triggers, owner, and expected response time.
A real conversation — not a scripted flow.
I need to reschedule my plumbing appointment.
No problem — can you share the date it was booked for and the address or the name used on the booking?
Booked for Thursday morning, it’s at 42 Maple St.
Found booking · new slots: Friday 1:00 PM or Saturday 10:30 AM
I can move you to Friday 1:00 PM or Saturday 10:30 AM. Which works best?
Friday 1:00 PM.
Rescheduled · confirmation updated
Done — you’re booked for Friday at 1:00 PM. I’ve updated your confirmation and sent the reminder.
See the math: the real cost of a hire, the hours they actually work, and how many leads you lose after hours.
| Metric | Hire | OpenTulpa |
|---|---|---|
| Online hours | 8 / day | 24/7 |
| Concurrent customers | 1–2 | Unlimited |
| Onboarding time | Weeks | A day |
| Sick days & vacation | Happens | Never |
| Channels covered | Manual DMs | All channels |
| After-hours coverage | None | Included |
Salons
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Cleaners
Gyms
Physio Clinics
Real Estate
Vet Clinics
Spas
Law Firms
Contractors
Contractors
Contractors
Contractors
Contractors
Contractors
Explore more customer-message workflows for contractors.
See the cross-industry booking assistant overview.
Compare this workflow with receptionist.
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An AI booking assistant is an autonomous scheduling agent that handles appointment booking end-to-end — through natural conversation via chat, SMS, or voice. It checks availability, books the slot, sends confirmations and reminders, and manages rescheduling without any manual effort from your team. It works 24/7, so customers can book at any time.
The AI sends confirmation and reminder messages at intervals you choose. Customers can also reschedule through the same channel rather than abandoning the appointment. Results depend on your audience, reminder timing, and booking policy.
Yes. OpenTulpa integrates with Google Calendar, Outlook, Calendly, and most scheduling platforms. Bookings sync in real time — so availability shown to customers is always accurate and double-bookings are impossible.
It can collect the right details, propose available appointment windows, and follow your business's escalation rules. It does not independently determine whether a safety-critical situation is an emergency.
Usually: service type, address (or area served), when you’re available, and a short description of the issue. If your pricing depends on a site visit, it still books that estimate appointment in chat.
Turn scheduling conversations into complete booking requests with the service, timing, and customer details your team needs. This version is shaped around hvac repair, plumbing repairs, and electrical troubleshooting workflows common to contractors.
Configure the workflow before you commit