You will get AI Voice Agent Development: AI Receptionist With Real-Time Calls
Project details
Every missed call is a lost customer. I build an AI voice agent that answers your phone 24/7, in a natural voice, and actually gets things done: answering questions, booking appointments, qualifying leads, and handing off to you when it matters.
Why this setup:
• Answers from your real data. Pricing, hours, services and policies, not generic filler.
• Books straight into your calendar or CRM. The call ends with the job on the books, not a message you have to return.
• Knows when to stop. Clear transfer rules to a human, set by you, on every tier.
• You own it. Full source code and config on every tier. No lock-in, no monthly fee to me.
Stack: Vapi, Retell or custom Twilio, Deepgram and ElevenLabs for speech, OpenAI / Claude / Gemini for reasoning, plus calendar and CRM integration (Google, Calendly, HubSpot, GoHighLevel, n8n).
Typical uses: AI receptionist, appointment booking, lead qualification, after-hours cover, order status, call routing, outbound follow-up.
Not sure which tier fits? Message me your call volume and what the calls are about. If a voice agent is the wrong tool for your problem, I will tell you that too.
Why this setup:
• Answers from your real data. Pricing, hours, services and policies, not generic filler.
• Books straight into your calendar or CRM. The call ends with the job on the books, not a message you have to return.
• Knows when to stop. Clear transfer rules to a human, set by you, on every tier.
• You own it. Full source code and config on every tier. No lock-in, no monthly fee to me.
Stack: Vapi, Retell or custom Twilio, Deepgram and ElevenLabs for speech, OpenAI / Claude / Gemini for reasoning, plus calendar and CRM integration (Google, Calendly, HubSpot, GoHighLevel, n8n).
Typical uses: AI receptionist, appointment booking, lead qualification, after-hours cover, order status, call routing, outbound follow-up.
Not sure which tier fits? Message me your call volume and what the calls are about. If a voice agent is the wrong tool for your problem, I will tell you that too.
Purpose
BusinessIndustry
Beauty & Cosmetics, Business Services & Consulting, Construction, Ecommerce, Education, Events Planning, Fashion & Apparel, Financial Services, Food & Beverage, Government & Public Sector, Legal, Logistics & Supply Chain Management, Manufacturing & Storage, Marketing & Advertising, Media & Entertainment, Real Estate, Retail & Wholesale, Software, Sports & Fitness, Transportation & Automotive, Travel & TourismLanguage
EnglishWhat's included
| Service Tiers |
Starter
$300
|
Standard
$549
|
Advanced
$1,350
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 21 days |
Number of Hours of Work | 40 | 80 | 170 |
Scriptwriting | - | - | |
Summary Report | |||
Social Media Replies | - | ||
Email Support | |||
Live Chat Support |
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SI
Sheza I.
May 7, 2025
MERN Project Management with AI Integration
Delivered high-quality work on time and communicated clearly throughout the project. Highly recommended!
JG
Juan Camilo G.
Jan 8, 2025
Tranqui AI Voice Chat Bot
CS
Christian Angelo S.
Nov 1, 2024
React Native Developer
AT
Awb T.
Apr 6, 2022
Full-stack MERN developer
Good communication and delivering quality work on time.
About Ayaz
AI Agent Developer | RAG Chatbots, LLM Integration & n8n
100%
Job Success
Lahore, Pakistan - 1:50 am local time
Most AI builds work in the demo and break the week after. Retrieval returns the wrong chunk. Token costs triple. The agent loops. I build for the part after the demo, because I spent nine years shipping enterprise software before I built my first AI agent, and agents are still software.
WHAT I BUILD
AI agents and multi agent systems. Tool calling, memory, orchestration, and validation gates that stop an agent looping on a bad input. I work in LangGraph, LangChain, CrewAI and the OpenAI Agents SDK, and I wire agents into n8n, Make and Zapier when the workflow already lives there. Sales qualification agents, support agents, research agents, internal ops agents.
RAG chatbots and retrieval systems. RAG over PDFs, internal docs, knowledge bases and live databases. Embeddings, semantic and hybrid retrieval, re-ranking, chunking that respects document structure. Pinecone, Qdrant, Chroma and pgvector. Deployed into web widgets, WhatsApp, Slack and voice.
LLM integration into products you already run. Adding OpenAI, Claude or Gemini to an existing SaaS platform, CRM or internal tool without rewriting it. Streaming responses, structured outputs, function calling, usage metering, and cost control that keeps the bill predictable at volume.
AI automation that replaces manual work. Document processing, extraction, classification and summarization at volume. The pattern is always the same: an operation running on manual review, spreadsheets and copy paste is an automation problem waiting to be solved.
When the AI needs an app around it, I build that too. Next.js, FastAPI, Node.js and Postgres, plus React Native or Flutter on mobile. That is the app the agent lives in, not the headline.
WHY CLIENTS KEEP ME
Retrieval tuned and measured, not guessed. Token and latency budgets tracked from day one. Guardrails, fallbacks and error handling on every LLM call. Evals and regression tests so output quality does not drift once real users arrive. Clean architecture your next developer can actually read. That last one is why the AI work holds up: most agentic projects fail on engineering fundamentals long before they fail on model choice.
HOW I WORK
Scope first, then a small paid pilot, then build. You see working software early and often. No black boxes, no month of silence. Microsoft Certified, 100% Job Success Score, 1,400+ hours on Upwork.
Tell me what you are trying to automate and I will tell you straight whether an AI agent is the right tool for it, or whether a hundred lines of Python would do the same job for a tenth of the cost.
Steps for completing your project
After purchasing the project, send requirements so Ayaz can start the project.
Delivery time starts when Ayaz receives requirements from you.
Ayaz works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Call Flow Design
Mapping your real calls into flows, scripting the agent, and setting up the number and voice.
Agent Build & Integration
Building the voice agent, connecting your knowledge, calendar and CRM, and wiring transfer rules.