Conduit

Lead Intake & Qualification Infrastructure

01 // PRODUCT

Single-engine architecture.
Per-client configuration layer.

Conduit is a lead intake and qualification infrastructure layer. A single engine handles ingestion, scoring, AI-driven qualification, WhatsApp outreach, and funnel tracking. A per-client configuration file governs all behaviour — no client-specific logic ever touches code.

Deploy a new client in 3–6 hours. The engine doesn't change. Only the config does. Clients with an existing outreach system can run scoring and funnel assignment only — no Twilio, no AI agent, no follow-up scheduler required.

01 // Ingest

Multi-source Lead Ingestion

Meta Lead Ads, Gmail, and CSV — deduplicated by phone and normalised to a unified schema on ingestion.

02 // Score

Intelligent Lead Scoring

Every lead is scored on arrival and re-scored on every reply. Priority updates in real time as the conversation evolves — no manual tagging required.

03 // Qualify

AI Qualification Layer

AI agent handles inbound replies on WhatsApp, gathers missing information, and detects buying signals — all without you lifting a finger.

04 // Route

Follow-up Scheduler

Config-driven sequences at 24h, 72h, and 7 days. Template-first sends. Opt-out compliant by default.

05 // Monitor

Operations Dashboard

Lead queue sorted by priority score, with follow-up controls, manual stage overrides, and conversion analytics by source.

Deployment Options
Scoring & Prioritisation

Lead Scoring & Funnel Assignment

For businesses with an existing outreach process who need accurate, automatic lead prioritisation. Conduit ingests leads from all your sources, scores them, and organises your pipeline — so you always know who to call first.

Multi-source ingestion
Intelligent lead scoring
Operations dashboard
WhatsApp outreach
AI conversation agent
Automated follow-ups
Full Pipeline

Full Lead-to-Escalation Pipeline

Complete qualification infrastructure. First WhatsApp contact fires within minutes of a lead coming in. The AI agent qualifies mid-conversation. Follow-up sequences run on their own. Your hottest leads land in your hands — ready to close.

Multi-source ingestion
Intelligent lead scoring
Operations dashboard
WhatsApp outreach
AI conversation agent
Automated follow-ups
02 // SCORING

LSQA Model

Lead Signal Qualification & Allocation — scored on arrival, updated on every reply.

Every lead that comes in is evaluated across multiple signals — where they came from, how urgently they need to act, what they've told you, and how they respond. Each signal carries a calibrated weight. Together they produce a single priority score that determines exactly what happens next.

Lead Source

Not all leads are equal. Where a lead came from tells you a lot about their intent before a single message is exchanged.

Urgency

How soon do they need to act? A lead with an imminent deadline is worth far more attention than one with a vague timeline.

Information Quality

Leads who give you more to work with are more serious. Score rises as the AI extracts more detail through the conversation.

Budget Signal

A specific budget means a serious buyer. A vague or missing number means more work before they're ready to close.

Engagement Live

How a lead responds after first contact. Every reply is an opportunity to learn more and update their priority in real time.

HOT
Ready to buy
You get an immediate alert.
AI steps aside.
This one is yours to close.
WARM
Interested, needs nurturing
AI qualifies over WhatsApp.
Automated follow-ups run.
Score updates with every reply.
COLD
Early stage
Light-touch outreach sent.
Monitored for engagement.
Can move up at any time.
JUNK
Low signal
One message only.
Auto-archived if no response.
Never messaged again.
Priority Updates Automatically
Cold → Warm Follow-ups kick in. Tone adjusts.
Warm → Hot You're notified. AI steps back. You take over.
Opt-out detected Archived immediately. No further contact.
03 // PIPELINE

What Happens to Every Lead

From first touch to conversion — automatically.

Stage 01 // Ingestion

Ingestion Layer

Meta form submission, Gmail notification, or CSV upload. Raw payload stored. Deduplicated by phone. Normalised to unified schema. Scored on ingestion.

Meta AdsGmailCSV
Stage 02 // Qualification

Qualification Layer

First WhatsApp message fires within 5–10 minutes. AI agent replies to inbound messages. Extracts fields. Re-scores on every turn. Detects escalation signals. Routes to HOT stage on detection.

AI AgentWhatsAppLead Scoring
Stage 03 // Escalation

Escalation Trigger

HOT stage triggers client notification. Dashboard notifies client. AI disengages. Client closes the deal. Status updated. Follow-ups cancelled automatically.

Dashboard AlertEmail NotificationAuto-cancel
04 // OUTPUT

Operational Output

Deployment characteristics. Reference client: Sunshine Travel Co.

First outreach 5–10 minutes post-ingestion
Client onboarding 3–6 hours per instance
Lead scoring Multi-signal priority score. Updates in real time on every reply.
05 // DEPLOYMENT INQUIRY

SUBMIT
OPERATIONAL
CONTEXT

DEPLOYMENT PARAMETERS

Onboarding time: 3–6 hours per deployment.
Infrastructure cost: $5–10/month, client-paid.

SCORING & PRIORITISATION

Lead ingestion  ·  Intelligent scoring
Operations dashboard

FULL PIPELINE

All of the above, plus: WhatsApp outreach
AI qualification agent  ·  Automated follow-ups

Discovery session scheduled upon review.
✓ Received. We'll reach out to schedule a discovery session.