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live01. VERIFIED CASE STUDYEvidence-gated publication

LeadRescue

AI lead-response and recovery platform that instantly drafts rule-safe replies to inbound leads, scores them, and runs human-approved follow-up across email and SMS.

Production Environment Capture1440 × 900 · Verified WebP
https://leadrescue-liard.vercel.app
LeadRescue landing page: AI lead response dashboard recovering a high-value website lead
The Challenge

Operational Problem

Paid inbound leads go cold when staff are busy: the first reply arrives hours later, qualification is inconsistent, and follow-up stops after one attempt.

Engineering Solution

Value Proposition

First reply drafted in under 60 seconds, structured lead scoring, T+0 to T+7d conditional follow-up, and owner tasks for high-value leads — every send stays human-approved.

Execution Architecture

Core Workflow Pipeline

  1. 1Inbound lead arrives from the business website or ad campaign
  2. 2AI drafts a rule-safe, personalized response in under a minute
  3. 3Owner approves and sends from the dashboard
  4. 4Unanswered leads enter scheduled follow-up until reply or window close
Deliverables

Verified Capabilities

  • AI-drafted response within a 60-second SLA with human approval gate
  • Structured lead scoring and high-value task creation
  • Conditional T+0 to T+7d follow-up sequences across email and SMS
  • Response-time tracking with recovery attribution
  • Per-organization data isolation

Technical Architecture

Split deployment: React 19 SPA on Vercel with an Express/tRPC API in Docker behind a reverse proxy. MySQL via Drizzle ORM, JWT sessions, per-organization isolation.

Security & Isolation

Per-organization data isolation, JWT sessions, and a documented security audit.

Verified Stack
React 19ViteTypeScriptTailwind CSSExpresstRPCDrizzle ORMMySQLjose
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