Make.com · A home-services company

AI Voice & SMS Engagement Engine (Make.com)

A suite of Make.com scenarios that runs AI voice and SMS engagement for a home-services business — booking-triggered outbound calls, CSV calling campaigns, AI-drafted two-way SMS, and post-call transcript analysis, all logged to Airtable.

Make.com — inbound & outbound AI call scenario

The problem

The business couldn't manually call, text, transcribe, and log every lead and customer. Bookings, inbound and outbound calls, and follow-up SMS needed to happen at volume without a call team or manual data entry.

Approach

Event-driven Make.com scenarios triggered by webhooks and Cal.com bookings. Data is normalized and structured as JSON, dispatched to a voice-AI service and Twilio via HTTP, processed by OpenAI, and written to Airtable — with routers, filters, rate-limiting, and per-branch error handling.

What I built

• Booking-triggered and CSV-batch outbound AI calling campaigns
• Two-way conversational SMS with AI-drafted replies, routed per scenario
• Call-transcript capture, AI analysis, and automated follow-up texts
• OpenAI completions for drafting and analysis, gated by validation filters
• Airtable as the system of record (search/create/update) plus marketing-list tagging
• Routers for conditional branching, Sleep modules for pacing, and Break modules for error handling

Result

Delivered an AI voice-and-SMS engine that turns bookings and calls into AI-drafted conversations — automatically analyzed, replied to, and logged — removing manual calling, texting, and data entry across the customer lifecycle.