AI[SYS_ID: AI-CALL-CENTER]

AI Call Center

Voice AI system connected to a custom appointment backend for availability checks, bookings, rescheduling, cancellations, transfers and confirmations.

STATUS: Validated through development and test-call scenarios; not presented as live customer traffic.

Open VoicePls

01. Overview

Voice AI system connected to a custom appointment backend for availability checks, bookings, rescheduling, cancellations, transfers and confirmations.

02. Interface / Screenshots

AI Call Center
AI Call Center project preview
[PROJECT_PREVIEW]

03. Architecture

Interactive Architecture Walkthrough — a visualization of the implemented architecture/workflow.

Interactive Architecture Walkthrough

A call workflow for booking, rescheduling, cancellation, transfer, and summaries through Vapi tool calls. [Based on development and test-call scenarios; not live customer traffic.]

Speed:
Caller
Vapi Voice Agent
Speech / Conversation Context
LLM Decision
Tool Call Selection
Custom Booking REST API
Appointment Data Store
Booking Result
Voice Confirmation
Optional SMS / Human Transfer / Summary
Active Pipeline Stage
Launch simulation to view stage details.
Transition Example
Start the walkthrough to view a sample transition.
Console Logs
|
>Ready to trace workflow pipelines...

04. Problem

Businesses need a reliable voice workflow to handle repetitive appointment requests without relying on a human to answer every call.

05. Solution

Connected Vapi to a custom booking backend, designed the prompt and tool-call flow, and validated appointment actions through backend logic.

AI focus

  • -System prompt design for booking workflows
  • -Tool and function calls for booking actions
  • -Fallback logic and error handling for call interruptions

06. Key Features

  • >Inbound calls
  • >Outbound calls
  • >Availability checking
  • >Appointment booking
  • >Rescheduling
  • >Cancellation
  • >Human transfer
  • >SMS confirmation
  • >Call recording
  • >Transcripts and call summaries

07. Engineering Challenges

Keeping the call flow resilient when callers provide incomplete details

Added fallback prompts and validation before backend actions.

Mapping speech turns to booking tools safely

Separated LLM intent detection from backend execution steps.

08. Outcome

Connected conversational voice interactions to real booking actions through validated backend tool calls.

09. Technology

VapiLLMsJavaScriptREST APIsTool Calling
[PROJECT_SPECIFICATIONS]
ROLE:
Backend & AI Engineer
CATEGORY:
AI
TECHNOLOGY STACK:
VapiLLMsJavaScriptREST APIsTool Calling
OUTCOME:
Connected conversational voice interactions to real booking actions through validated backend tool calls.