You will get AI Phone Receptionist for Calls & Appointment Booking
Project details
Every missed call is revenue walking to a competitor. Hiring phone coverage costs $2,000+/month. My AI receptionist costs a fraction and answers on the first ring, 24/7.
It talks naturally, checks your REAL availability, books into your actual system, confirms details back to the caller (it reads phone numbers back digit by digit before booking — no garbage data), and transfers to a human on request.
Proof most sellers can't show: my voice agent runs against a live clinic booking system — callers can even ask "how long is the wait?" and hear their real-time queue position, including delays. Watch the demo video in the gallery.
Built on Vapi with your choice of natural voices. Works with a new number, your existing Twilio number, or call-forwarding from your current line. US/UK/CA/AU numbers set up same-day.
It talks naturally, checks your REAL availability, books into your actual system, confirms details back to the caller (it reads phone numbers back digit by digit before booking — no garbage data), and transfers to a human on request.
Proof most sellers can't show: my voice agent runs against a live clinic booking system — callers can even ask "how long is the wait?" and hear their real-time queue position, including delays. Watch the demo video in the gallery.
Built on Vapi with your choice of natural voices. Works with a new number, your existing Twilio number, or call-forwarding from your current line. US/UK/CA/AU numbers set up same-day.
AI Development Type
Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
SonnetAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$499
|
Standard
$999
|
Advanced
$1,999
|
|---|---|---|---|
| Delivery Time | 10 days | 14 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | |||
Model Documentation | |||
Ontology | - | ||
Source Code | |||
Taxonomy |
Frequently asked questions
About Md Siddique
n8n AI Automation for Lead, CRM & Customer Operations
Gazipur City Corporation, Bangladesh - 5:31 am local time
That's what I fix — and I stay on the hook after go-live.
I design, build, and OPERATE production AI automation systems. Everything I ship runs on infrastructure I maintain and monitor, so I'm responsible for what happens after launch — not just the initial build.
SELECTED PRODUCTION SYSTEMS (live and running):
1. WhatsApp AI Receptionist — Medical Clinic
Patients book appointments, check availability, and receive live queue updates over WhatsApp without calling reception. When the doctor runs late, the system automatically notifies affected patients with their updated time. Routine reception calls and manual rescheduling are largely eliminated.
2. AI Lead Qualification + CRM Automation
Incoming leads are captured, qualified through a conversational AI agent, scored, and routed to the right CRM pipeline. CRM records update automatically, follow-ups trigger based on lead status, and human agents receive the full conversation context when intervention is needed.
3. Facebook Messenger AI Auto-Reply
Responds to customer messages within seconds in a natural conversational tone, answers business-specific questions, captures lead details, and hands conversations to a human when needed. No rigid menu or "press 1" flow — the AI handles the conversation in the brand's voice.
4. E-commerce Order-to-Courier Automation
New orders flow directly from the online store to the courier API with duplicate-safe dispatch logic, validation, error handling, and status tracking. Manual order entry is eliminated and the workflow prevents accidental duplicate shipments.
5. Multi-Brand AI Social Media Content Engine
Researches topics, drafts platform-specific posts, generates supporting images, routes everything through human approval, and publishes across 7 Facebook pages automatically. Approximately 15 hours/week of repetitive content work automated.
6. AI Voice Receptionist — Dental Clinic
Answers inbound calls, handles common patient questions, qualifies callers, checks appointment availability, and books appointments directly into the clinic's scheduling system. Complex or sensitive conversations are handed to staff instead of being forced through automation.
7. Document-Grounded AI Knowledge Base
Answers questions using approved company documents and provides source-grounded responses instead of relying on general model knowledge. When an answer isn't supported by the knowledge base, the system automatically escalates to a human rather than guessing.
8. AI Document Data Extraction
Extracts structured information from invoices, forms, PDFs, and other business documents, validates the extracted fields, and pushes clean data into downstream systems. Uncertain or failed extractions are routed for human review instead of silently entering bad data.
HOW I WORK:
→ Discovery: I map your actual business process before quoting anything.
→ Blueprint: Scope, architecture, deliverables, and pricing are agreed in writing.
→ Build: n8n / Make / Zapier + OpenAI / Claude APIs, tested against your real data and edge cases.
→ Handover: Clear documentation and a walkthrough so your team can actually use the system.
→ Operate: Monitoring, error handling, API changes, maintenance, and improvements after deployment.
WHAT MAKES ME DIFFERENT:
I don't just build a workflow and disappear after delivery.
My systems are designed for production — with monitoring, proper secret management, validation, error handling, approval gates, and human-in-the-loop controls where automation could affect customers, money, or business decisions.
If an AI system isn't confident, it shouldn't guess. If an automation fails, it shouldn't silently lose data. If a customer needs a human, the handoff should happen with the full context — not force them to start over.
Core stack: n8n (self-hosted + cloud), Make, Zapier, OpenAI API, Claude API,
LangChain, WhatsApp Business Cloud API, Meta/Facebook Graph API, PostgreSQL,
Supabase, Docker, python, Next.js, WordPress/WooCommerce REST API, Telegram bots.
If you have a process your team is still handling manually, send me the current workflow. I'll map out what should be automated, what should stay human, and where AI actually makes sense.
Steps for completing your project
After purchasing the project, send requirements so Md Siddique can start the project.
Delivery time starts when Md Siddique receives requirements from you.
Md Siddique works on your project following the steps below.
Revisions may occur after the delivery date.
Call flow & scope
I map what the agent must handle — booking, FAQs, routing, message-taking — and send you a written call flow including exactly when it transfers to a human. You approve the flow before I build.
Number & system access
I set up your phone number (new, your existing Twilio, or forwarding from your current line) and connect your booking system or calendar. I confirm number availability for your country before any work starts.