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Case study · Sales automation

An AI Offer Engine and Outreach Loop on Airtable, GPT and Apollo

Built an automated workflow for a land-flipping business that moves leads from an Airtable CRM through a GPT offer engine into Apollo outreach, with a feedback loop and a dashboard.

All four milestones delivered
Client
Land-flipping business
Industry
Real estate
Timeline
Nov 2025 to Apr 2026
Engagement
Fixed price, 4 milestones
How it works

The system, step by step

In this case study, we cover an AI-driven workflow for a land-flipping business. The goal was to take a lead from first record to a drafted offer to an outreach message, with results feeding back into the system.

  • Airtable CRM

    Leads in one place

  • GPT offer engine

    Rules the business controls

  • Apollo outreach

    Messages and replies

  • Feedback loop

    Dashboard and documentation

The challenge

What the brief demanded

The workflow had to connect several tools and keep a human-readable record:

The client

The client was a business that buys and sells land and relies on a steady flow of leads and offers. The aim was to automate the steps between a lead appearing and an offer going out.

  • Capturing lead data in one place, in an Airtable CRM.
  • Drafting offers automatically with GPT, using rules the business controls.
  • Running outreach through Apollo and recording replies.
  • Feeding outcomes back so the system improves, and showing it all on a dashboard.
What we built

Built and handed over

We built the system in four stages, each delivered and approved before the next began.

  • Data flow and Airtable CRM setup.
  • GPT offer engine and automation logic.
  • Apollo outreach and feedback loop.
  • Dashboard and documentation.

The project ran as four milestones from November 2025, all completed and paid, and closed in April 2026.

  • Airtable
  • OpenAI GPT
  • Apollo
  • Workflow automation

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