You will get AI Chatbots for Lead Generation, Support & Sales - Web & Social
Project details
AI Chatbots for Lead Generation, Support & Sales - Web & Social
Looking to automate conversations, qualify leads and book meetings without adding headcount?
I build intelligent AI chatbots using GPT-4o & Claude, integrated with your CRM and deployed across channels your customers already use.
These chatbots handle:
✅ Lead qualification & appointment booking
✅ Customer support & FAQs
✅ Sales conversations & recommendations
✅ eCommerce queries & order tracking
✅ Recruitment screening & onboarding
Key Features:
• Multi-channel deployment (Web, Social)
• RAG-powered knowledge base (accurate, no hallucinations)
• CRM integrations (HubSpot, Salesforce, GoHighLevel, APIs)
• Smart human handoff with full context
• Analytics: lead quality, resolution & drop-offs
Every conversation is tracked, every lead synced, zero manual work.
Built for startups & scaling teams to turn chats into conversions.
Looking to automate conversations, qualify leads and book meetings without adding headcount?
I build intelligent AI chatbots using GPT-4o & Claude, integrated with your CRM and deployed across channels your customers already use.
These chatbots handle:
✅ Lead qualification & appointment booking
✅ Customer support & FAQs
✅ Sales conversations & recommendations
✅ eCommerce queries & order tracking
✅ Recruitment screening & onboarding
Key Features:
• Multi-channel deployment (Web, Social)
• RAG-powered knowledge base (accurate, no hallucinations)
• CRM integrations (HubSpot, Salesforce, GoHighLevel, APIs)
• Smart human handoff with full context
• Analytics: lead quality, resolution & drop-offs
Every conversation is tracked, every lead synced, zero manual work.
Built for startups & scaling teams to turn chats into conversions.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, Conversational AIAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, PyTorch, Replit, TensorFlowAI Models
ChatGPT, GPT-3, GPT-4What's included $2,000
These options are included with the project scope.
$2,000
- Delivery Time 14 days
- Number of Revisions 1
- AI Model Integration
- Database Integration
- Model Deployment
- Model Testing & Optimization
- Model Tuning
- Prompt Engineering
- Source Code
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RP
Rayda P.
Jun 22, 2026
Trial Project
About Hashir
Voice Ai Agents | Ai Receptionist | In/Out bound | Retell, Vapi, n8n
Lahore, Pakistan - 2:34 pm local time
Missed calls cost more than people realize. A lead calls after hours, gets no answer and just calls the next business on the list. That's revenue walking out the door quietly, month after month.
I build Voice AI agents that answer calls around the clock, qualify leads, book appointments, answer FAQs, transfer urgent calls to the right person, update your CRM and kick off follow-up automations. No missed calls, no staff stuck answering the same questions all day.
9 years in software engineering. I work with Retell AI, VAPI, ElevenLabs, Twilio, OpenAI, Claude, and n8n, and I've built systems that actually hold up in production, not just in a demo.
𝗖𝗮𝘀𝗲 𝗦𝘁𝘂𝗱𝘆: 𝗖𝘂𝘁𝘁𝗶𝗻𝗴 𝗔𝗜 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗖𝗼𝘀𝘁𝘀 𝗯𝘆 𝟳𝟱% 𝗪𝗶𝘁𝗵𝗼𝘂𝘁 𝗟𝗼𝘀𝗶𝗻𝗴 𝗤𝘂𝗮𝗹𝗶𝘁𝘆
A client came to me with a working voice agent, but each call was burning through 42,000 tokens. The context was too long and unmanaged, so the agent kept losing track of the conversation and the infrastructure bill was getting out of hand.
I went through the pipeline and found the problems: no sub-agent setup, sloppy prompts, too much context being carried around, and extra API calls that didn't need to happen. After two rounds of changes, splitting the work across sub-agents with a smooth handoff between them, tightening the prompts, picking better models for each part of the job, and cutting the unnecessary context, I got token usage down to 12,000 per call. Same conversation quality, a third of the cost.
Token usage down 70-75%
Infrastructure costs projected to drop from $10,000 to $2,500-$3,000 a month
Faster responses, more reliable overall
Same natural feel, much cheaper to run at scale
𝗖𝗮𝘀𝗲 𝗦𝘁𝘂𝗱𝘆: 𝟳𝟬–𝟳𝟱% 𝗟𝗼𝘄𝗲𝗿 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗖𝗼𝘀𝘁𝘀, 𝗭𝗲𝗿𝗼 𝗠𝗶𝘀𝘀𝗲𝗱 𝗖𝗮𝗹𝗹𝘀
Another client was losing leads every day. Calls went unanswered after hours, appointments were booked by hand, and staff spent hours answering the same questions on repeat.
I built them a voice receptionist that runs all day and night. It answers calls, qualifies leads, books appointments, answers common questions, routes urgent calls to a person, updates the CRM, sends confirmation texts and emails, and triggers n8n workflows, without anyone touching it.
Operating costs down 70-75%
No missed calls outside business hours
Can handle several calls at once
Faster responses, better experience for callers
Staff no longer stuck answering the same calls all day
𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝗱
Voice AI Agents AI Receptionists · Inbound & Outbound Calling · Appointment Booking · Lead Qualification · Customer Support · Call Routing & IVR · CRM Integration
Tools for Voice Ai Agents Retell · Bland · Vapi · Custom Solutions using LLM’s.
AI Automation n8n · Make · Zapier · MCP · REST APIs · HubSpot · Salesforce · Airtable · GoHighLevel
LLM & AI Engineering GPT-4/5 · Claude · Gemini · LangChain · LlamaIndex · RAG Pipelines · Vector Databases · Multi-Agent Systems · Tool Calling
𝗪𝗵𝗲𝗿𝗲 𝗜'𝘃𝗲 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱
Healthcare · SaaS & Tech · Real Estate · Finance & FinTech · Hospitality · Construction · HVAC
𝗖𝗹𝗶𝗲𝗻𝘁 𝗥𝗲𝘃𝗶𝗲𝘄𝘀
"𝘏𝘢𝘴𝘩𝘪𝘳 𝘩𝘢𝘴 𝘢𝘯 𝘦𝘹𝘤𝘦𝘱𝘵𝘪𝘰𝘯𝘢𝘭 𝘢𝘣𝘪𝘭𝘪𝘵𝘺 𝘵𝘰 𝘢𝘯𝘢𝘭𝘺𝘻𝘦 𝘤𝘰𝘮𝘱𝘭𝘦𝘹 𝘴𝘺𝘴𝘵𝘦𝘮𝘴, 𝘪𝘥𝘦𝘯𝘵𝘪𝘧𝘺 𝘣𝘰𝘵𝘵𝘭𝘦𝘯𝘦𝘤𝘬𝘴, 𝘢𝘯𝘥 𝘥𝘦𝘭𝘪𝘷𝘦𝘳 𝘦𝘧𝘧𝘪𝘤𝘪𝘦𝘯𝘵, 𝘴𝘤𝘢𝘭𝘢𝘣𝘭𝘦 𝘴𝘰𝘭𝘶𝘵𝘪𝘰𝘯𝘴. 𝘏𝘪𝘴 𝘝𝘰𝘪𝘤𝘦 𝘈𝘐 𝘴𝘰𝘭𝘶𝘵𝘪𝘰𝘯 𝘳𝘦𝘥𝘶𝘤𝘦𝘥 𝘰𝘶𝘳 𝘰𝘱𝘦𝘳𝘢𝘵𝘪𝘰𝘯𝘢𝘭 𝘤𝘰𝘴𝘵𝘴 𝘴𝘪𝘨𝘯𝘪𝘧𝘪𝘤𝘢𝘯𝘵𝘭𝘺 𝘸𝘩𝘪𝘭𝘦 𝘬𝘦𝘦𝘱𝘪𝘯𝘨 𝘵𝘩𝘦 𝘦𝘹𝘱𝘦𝘳𝘪𝘦𝘯𝘤𝘦 𝘤𝘰𝘮𝘱𝘭𝘦𝘵𝘦𝘭𝘺 𝘯𝘢𝘵𝘶𝘳𝘢𝘭 𝘧𝘰𝘳 𝘰𝘶𝘳 𝘤𝘶𝘴𝘵𝘰𝘮𝘦𝘳𝘴. 𝘈 𝘵𝘳𝘶𝘦 𝘱𝘳𝘰𝘧𝘦𝘴𝘴𝘪𝘰𝘯𝘢𝘭 𝘸𝘩𝘰 𝘢𝘭𝘸𝘢𝘺𝘴 𝘧𝘰𝘤𝘶𝘴𝘦𝘴 𝘰𝘯 𝘲𝘶𝘢𝘭𝘪𝘵𝘺."
~𝗩𝗶𝘁𝗼𝗿 𝗠𝗮𝗿𝗾𝘂𝗲𝘀
"𝘏𝘢𝘴𝘩𝘪𝘳 𝘰𝘱𝘵𝘪𝘮𝘪𝘻𝘦𝘥 𝘰𝘶𝘳 𝘦𝘯𝘵𝘪𝘳𝘦 𝘝𝘰𝘪𝘤𝘦 𝘈𝘐 𝘱𝘪𝘱𝘦𝘭𝘪𝘯𝘦 𝘢𝘯𝘥 𝘴𝘢𝘷𝘦𝘥 𝘶𝘴 𝘵𝘩𝘰𝘶𝘴𝘢𝘯𝘥𝘴 𝘪𝘯 𝘮𝘰𝘯𝘵𝘩𝘭𝘺 𝘪𝘯𝘧𝘳𝘢𝘴𝘵𝘳𝘶𝘤𝘵𝘶𝘳𝘦 𝘤𝘰𝘴𝘵𝘴 𝘸𝘪𝘵𝘩𝘰𝘶𝘵 𝘴𝘢𝘤𝘳𝘪𝘧𝘪𝘤𝘪𝘯𝘨 𝘢 𝘴𝘪𝘯𝘨𝘭𝘦 𝘴𝘦𝘤𝘰𝘯𝘥 𝘰𝘧 𝘤𝘢𝘭𝘭 𝘲𝘶𝘢𝘭𝘪𝘵𝘺. 𝘏𝘦 𝘥𝘰𝘦𝘴 𝘸𝘩𝘢𝘵 𝘯𝘦𝘦𝘥𝘴 𝘵𝘰 𝘣𝘦 𝘥𝘰𝘯𝘦 𝘪𝘯 𝘵𝘩𝘦 𝘴𝘩𝘰𝘳𝘵𝘦𝘴𝘵 𝘱𝘰𝘴𝘴𝘪𝘣𝘭𝘦 𝘵𝘪𝘮𝘦 𝘶𝘴𝘪𝘯𝘨 𝘤𝘰𝘴𝘵-𝘦𝘧𝘧𝘦𝘤𝘵𝘪𝘷𝘦 𝘵𝘦𝘤𝘩𝘯𝘪𝘲𝘶𝘦𝘴. 𝘈 𝘨𝘳𝘦𝘢𝘵 𝘵𝘦𝘢𝘮 𝘱𝘭𝘢𝘺𝘦𝘳 𝘸𝘪𝘵𝘩 𝘦𝘹𝘵𝘦𝘯𝘴𝘪𝘷𝘦 𝘵𝘦𝘤𝘩𝘯𝘪𝘤𝘢𝘭 𝘬𝘯𝘰𝘸𝘭𝘦𝘥𝘨𝘦."
~𝗕𝗿𝘂𝗻𝗼 𝗖𝗼𝗲𝗹𝗵𝗼
𝗟𝗲𝘁'𝘀 𝗕𝘂𝗶𝗹𝗱 𝗬𝗼𝘂𝗿𝘀
Message me or book a consultation and I'll audit your current setup (or build one from scratch) and show you exactly where the missed calls and wasted spend are hiding.
Steps for completing your project
After purchasing the project, send requirements so Hashir can start the project.
Delivery time starts when Hashir receives requirements from you.
Hashir works on your project following the steps below.
Revisions may occur after the delivery date.
Chatbot Flow
Gather requirements - Design chatbot flow - Build & train AI - Integrate CRM/APIs - Test & optimize - Deploy across channels - Provide support & handover.