Scheduling

AI agent for appointment booking

For teams that lose appointment enquiries while staff are busy, on a call or outside working hours.

The customer context

For teams that lose appointment enquiries while staff are busy, on a call or outside working hours.

Answers appointment questions, captures the required details and prepares a request for confirmation or a connected scheduling step.

What this workflow can cover

  • Answer service and preparation questions from approved knowledge
  • Collect service, preferred time, contact details and relevant notes
  • Prepare a scheduling request or use an approved calendar action
  • Escalate exceptions with the complete conversation context

Scheduling

How it works

  1. 1

    A customer asks for an appointment through website chat, a messaging channel or voice.

  2. 2

    The agent explains the process and collects the service, preferred time, contact details and required notes.

  3. 3

    Telp prepares the agreed next step and hands unusual or sensitive cases to the team.

What your team gets

Fewer missed appointment enquiries

Less back-and-forth before confirmation

A clear record of what the customer requested

Telp

How your team keeps control

Business rules stay explicit

Instructions, required details and allowed actions are configured for the selected workflow.

Sensitive steps can wait for confirmation

The agent can prepare a structured request while a person remains responsible for the final action.

Handoff keeps the conversation

Operators receive the customer context, collected data and the point where help is needed.

FAQ

Frequently asked questions

How should we start with AI agent for appointment booking?

Start with one channel, a small knowledge set and a clearly defined result. Test normal questions, missing information and handoff cases before adding more channels or actions.

Can our team take over the conversation?

Yes. Telp keeps the conversation in the shared inbox and can hand it to an operator with the transcript and collected context.

Does the agent have to perform every action automatically?

No. Read-only checks, prepared drafts and confirmed write actions can be separated so the rollout matches the risk of the process.

Want to validate this workflow with your own examples?

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.