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.
- Client
- Land-flipping business
- Industry
- Real estate
- Timeline
- Nov 2025 to Apr 2026
- Engagement
- Fixed price, 4 milestones
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
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.
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
Other systems we have built
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