MODULE: INTELLIGENCE

Lead Capture &
AI Automation

Intelligent agents that read, write, and decide so your business doesn’t have to.

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Turn raw leads into qualified actions

Most businesses collect leads but still rely on manual work to understand, respond, and act on them. That delay costs time, opportunities, and revenue.

I design AI-powered lead capture systems that don’t just store data, but interpret it, respond intelligently, and trigger the right next action automatically.

The Delay Problem

Leads come in, but no one responds fast or consistently. Manual analysis slows down your response time.

Indiscriminate Data

You can’t tell which leads are serious and which are noise. Decisions depend on human interpretation.

// WORKFLOW COMPARISON

Data → Decision → Action

Standard Workflow Bottleneck

Form Submission → Human Reads Email → Human Decides → Manual Reply

AUTOMATED
AI Agent Workflow Instant

Capture → Detect Intent → Enrich Data → Draft Personal Response → Trigger CRM

How the AI Actually Works

This is not “AI for the sake of AI.” At the core of these systems are LLMs and agents that are tightly controlled and purpose-built.

They analyze sentiment, intent, and meaning instead of just keywords, with guardrails to ensure reliability.

What I Build

Intelligent Lead Capture

Capture leads from forms, emails, and chats. Detect intent, urgency, or sentiment and enrich leads automatically with external data.

INPUT Raw Form Data
ENRICH Fetch LinkedIn/Web
OUTPUT High-Value Profile

AI-Powered Communication

Draft personalized client emails automatically. Generate follow-ups based on lead behavior or tone, routing conversations based on context.

READ Incoming Inquiry
DECIDE Needs Booking?
DRAFT Custom Invite

Market & Data Intelligence

Scrape and summarize market or competitor data. Monitor changes, trigger alerts, and convert unstructured data into usable insights.

SCRAPE Competitor Site
SUMMARIZE Pricing Changes
ALERT Slack Notification

Why This Is Different

01

Process Clarity First

Most AI automations fail because they are bolted onto broken processes. My approach focuses on process clarity before automation.

02

Leverage, Not Risk

AI is used where it adds leverage, not where it creates liability. We define clear boundaries on what the AI can and cannot do to prevent unpredictable behavior.

03

Documented & Extensible

Systems that are documented, testable, and extensible. You get intelligence that supports decisions, not replaces accountability.

The AI Stack

Deterministic logic layered on top of AI decisions ensures useful intelligence.

LLMs
Analysis
Agents
Autonomous Tasks
Guardrails
Reliability
Logs
Monitoring
24/7

Responsiveness. Leads don't wait for office hours.

Scale

Handle consistent inbound leads without increasing headcount.

Insight

Convert unstructured data into usable insights instantly.

Example Use Cases

Real operational scenarios where this system shines.

Automated Booking
HIGH-TICKET INFRASTRUCTURE

Automated Lead Capture & Booking

A "Paid-First" defensive architecture. It uses n8n and a State Machine Ledger to ensure no one touches your calendar until the invoice is paid.

Payment Logic n8n
Sales Pipeline
SALES OPERATIONS

Sales Pipeline Automation

A logic-based application funnel that audits prospects before they can book a call. It calculates a "Fit Score" in real-time.

Scoring HubSpot

Who This Is Best For

Ideal If

  • • You receive consistent inbound leads
  • • Decisions depend on text/intent
  • • Manual analysis slows response time
  • • You want AI in real operations

Not Ideal If

  • • You want a quick AI demo
  • • No long-term system thinking
  • • You have no clear process yet

Let’s Design the Right AI System

If you’re unsure where AI fits into your operations, that’s normal. The first step is clarity. Book a free AI & automation audit.

Book Your Free Automation Audit