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Project

Intent-Driven AI Sales Automation Platform

An end-to-end system that captures buying intent from public channels, qualifies it with AI, enriches it into CRM-ready leads, and drafts outreach for fast human review — built for consistency, measurement, and scale.

Dashboard view of AI-qualified sales leads flowing from public intent signals into a CRM pipeline
Intent capture to CRM-ready opportunity — the automation pipeline at a glance.

Implementation-focused summary

From public intent to CRM-ready opportunities

A repeatable pipeline that turns noisy social content into structured, enriched leads with attribution — without removing the human from qualification and outreach decisions.

Problem

Sales teams were spending hours manually scanning feeds for posts that signaled real project intent (AI, automation, cloud), with inconsistent capture, limited visibility for leadership, and poor integration into CRM and reporting.

Solution

A closed-loop automation engine continuously monitors targeted content, classifies intent, enriches accounts/contacts, and pushes clean leads into the CRM. High-intent items include an AI-drafted outreach message delivered to Slack for quick human review and send.

How it works

1

Ingestion

Keyword + filter-driven monitoring of posts with batching and cost controls.

2

Qualification

LLM-based classification with tuned prompts, thresholds, and failure modes.

3

Activation

Enrichment + CRM writeback + Slack delivery for fast, human-approved outreach.

Architecture & Stack

  • Ingestion pipeline for post capture with scoped queries and batching.
  • AI classification to identify genuine service intent and assign lead score.
  • Enrichment via external API (e.g., Apollo or equivalent) with duplicate avoidance.
  • CRM integration via webhook automation (e.g., n8n) for schema mapping and auth centralization.
  • Slack notification workflow with context and an editable outreach draft.

Impact

  • Reduced manual prospecting time by consolidating intent signals into a daily high-quality queue.
  • Standardized qualification criteria across teams and improved pipeline quality.
  • Enabled leadership reporting: capture volume, outreach activity, and conversion attribution.

Your role

Owned architecture and implementation end-to-end: ingestion and enrichment logic, GPT prompt/scoring iterations, CRM and Slack integrations, and cost/performance tuning.