AI Booking Inquiry Intake & Alert Workflow

THE HOOK Service businesses live and die by response speed. A booking inquiry that sits unread for hours is a booking that goes to a competitor. Yet most small and mid-sized service operations still review inquiries manually — scrolling through form submissions, decoding vague messages, deciding who follows up and when. The cost is not just lost bookings. It is operational drag. Team members context-switching into review mode. Schedulers guessing at intent. Owners wondering whether anyone saw that urgent request from yesterday. THE DIAGNOSIS This was not a staffing problem. It was a systems gap. Booking inquiries arrived through a Google Form, landed in a Google Sheet, and then waited for a human to read, interpret, and act. No classification. No prioritization. No alerting. The same person who handled scheduling also had to manually scan every row, extract key details from free-form text, and decide what to do next. The process broke down in three ways: 1. Delayed review — Inquiries accumulated before anyone checked the sheet. 2. Ambiguous intent — Free-form submissions required mental parsing to understand what the customer actually wanted. 3. Missed urgency — High-intent, ready-to-schedule requests sat alongside general questions with no visual or automated distinction. THE THESIS Manual review does not scale. Neither does it need to. The opportunity: build a lightweight automation layer that captures every inquiry, uses AI to extract structured scheduling intelligence, enriches the original spreadsheet record, and alerts the team only when an inquiry is ready for action. No new software. No complex infrastructure. Just smart routing between tools the business already uses. THE BUILD — Google Form as the intake front door. Clean, accessible, zero friction. — Google Sheets as the system of record. One row per inquiry, timestamped and traceable. — AI by Zapier as the extraction engine. Structured output fields: summary, booking_stage, requested_service, requested_schedule, urgency, callback, notes. — Update Spreadsheet Row as the enrichment step. The same row that triggered the workflow receives the AI-extracted data — no duplicate records, no data sprawl. — Filter by Zapier as the decision layer. Only inquiries classified as ready to schedule pass through to alerting. — Gmail as the alert channel. Internal team notification with extracted details, sent the moment a high-priority inquiry is identified. THE SYSTEM 1. Capture — Every form submission becomes a structured row automatically. 2. Extract — AI reads free-form text and outputs labeled, actionable fields. 3. Enrich — The original record is updated in place, creating a single source of truth. 4. Classify — Booking stage logic separates general inquiries, availability checks, and ready-to-schedule requests. 5. Alert — The team is notified only when human action is actually required. THE IMPACT — Before: Manual review of every inquiry, inconsistent response times, no prioritization. — After: Automated intake, AI-structured data, filtered alerts, faster team response. The workflow turns raw inquiry noise into structured signal. Teams stop scanning spreadsheets and start acting on qualified opportunities.