Scheduling
An AI agent answers service questions, collects the preferred time and contact details, then prepares a request for your team or an authorized calendar action.
Website
The AI agent matches the service to available times in your booking system. The customer chooses a slot and receives confirmation without calling reception.
When the connected system permits changes after checking booking details, the AI agent offers available times and moves the appointment only after the customer chooses.
WhatsApp
The customer context
Answers appointment questions, captures the required details and prepares a request for confirmation or a connected scheduling step.
Scheduling
A customer asks for an appointment through website chat, a messaging channel or voice.
The agent explains the process and collects the service, preferred time, contact details and required notes.
Telp prepares the agreed next step and hands unusual or sensitive cases to the team.
Fewer missed appointment enquiries
Less back-and-forth before confirmation
A clear record of what the customer requested
Telp
Instructions, required details and allowed actions are configured for the selected workflow.
The agent can prepare a structured request while a person remains responsible for the final action.
Operators receive the customer context, collected data and the point where help is needed.
The AI agent clarifies the service, preferred day and time, then asks for a contact for the reply. Customers need to know whether they are requesting a slot or receiving a confirmed booking. Voice intake is covered by the phone AI agent.
Prepare service durations, opening hours and rescheduling rules before launch. If availability is not connected, an employee checks the request before confirmation. Intake involving a fault or device follows the service request workflow.
The agent does not promise availability without checking it. It can collect another preferred time, while the final choice follows the available data and your confirmation process.
The existing booking and new preference need to be identified. Receiving this request does not mean that the old slot is cancelled or a new one reserved.
FAQ
Only when a connected, permitted booking action is available. Otherwise it collects a request for your team to check and confirm.
The service, preferred time and contact details. You can add relevant questions, such as location or preferred employee, without collecting unnecessary information.
Current availability needs a connected calendar or suitable business system. Opening hours alone do not establish that a particular slot is free.
The agent explains differences using your service descriptions. When the choice needs professional judgement, it collects the question for an employee instead of guessing.
The agent can receive those requests. Changing a booking requires a separately supported process and appropriate checks; receiving a message does not itself change the calendar.
Yes. When negotiation or an exception is needed, an employee continues with the existing transcript and details already collected by the agent.
Explore related pages
Orders
Telp helps customers choose an item, provide their details and place an order through conversation. It creates orders through a supported store connection or collects organised quote enquiries, following your configured process.
Sales
Asks the agreed qualification questions and sends sales a structured lead with context and a suggested next step.
Support
Resolves repeat questions from approved knowledge and hands complex cases to an operator without making the customer repeat everything.
Knowledge
Uses approved business knowledge to answer recurring questions consistently and makes gaps visible to the team.
Commerce
Helps customers narrow product choices and check approved order information without giving the agent unrestricted store access.
Coverage
Provides a useful first response, collects the right details and prepares the next business-day follow-up.
Tell us the channel, current process and first result you want to improve. We will suggest a focused rollout path and the cases your team should test.
