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AI AutomationLead AI EngineerQ1 2026 · 6 Weeks

Autonomous Lead Engine

An autonomous event-driven multi-agent pipeline designed to intercept, qualify, enrich, and convert inbound enterprise leads across multiple communication channels without human intervention.

Project Role
Lead AI Engineer
Client / Market
B2B Enterprise Services
Timeline
Q1 2026 · 6 Weeks
Primary Stack
python, langchain
🔒https://github.com/muhammadtahir/ai-lead-engine
1080p 60fps
Autonomous Lead Engine Video Demo
01 · The Challenge

What Problem Did This Project Solve?

Sales teams spent over 18 hours per week manually triaging incoming form submissions, researching company credibility, answering repetitive technical questions, and scheduling calendar invites.

  • Average lead response time was 4.5 hours, causing 30% drop-off
  • Low-quality spam submissions congested human sales representatives
  • Zero 24/7 coverage for international prospects across time zones
02 · The Solution

What Solution Was Delivered?

Constructed an autonomous event-driven AI pipeline using LangGraph and FastAPI. The agent analyzes inbound signals in under 2 seconds, validates budget/authority, writes contextual responses, and schedules verified meetings.

  • Automated instant response time lowered from 4.5 hours to 18 seconds
  • Autonomous enriched background lookup via corporate registries and DNS records
  • Self-correcting routing prevents hallucinations and routes edge cases to human reps
Capabilities & Architecture

What Can This Project Do?

🧠
Real-Time

Dual-Engine Reasoning

Routes easy queries to fast mini models and complex technical RFPs to Claude 3.5 Sonnet.

🔎

Autonomous Enrichment

Queries corporate registries and DNS records to gauge company size and stack before answering.

💬

Multi-Channel Gateway

Listens to Webhooks, incoming WhatsApp messages, and Gmail threads with a unified state engine.

🗓️

Conversational Calendar Sync

Negotiates open time slots natively in the thread and creates verified Google Meet / Zoom links.

🛡️

Hallucination Safeguards

Strict RAG guardrails using Pinecone vector database ensure the agent never quotes unsupported pricing.

⚡

Self-Healing Retries

Automatic exponential backoff and circuit-breakers on third-party CRM webhook dropouts.

94%
Faster Response Time
18 hrs
Saved Per Week
3.2x
Booked Qualified Calls
99.8%
CRM Sync Accuracy
Tooling & Ecosystem

Built With Modern Engineering Standards

pythonlangchainfastapidocker
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