AI Automator

Two staff members spent their days on repetitive WhatsApp back-and-forth — FAQs, schedule questions, tour bookings — across time zones and school hours.

Parents who message at 9pm and expect an answer; staff who should be teaching, not scheduling.

1. Meet users in the channel they already use.

   Parents lived on WhatsApp, so the product did too — no app, no portal, no new login.

2. The calendar is the source of truth.

   Bookings read real availability from the school's internal calendars and filter open slots dynamically — the bot can't double-book because it never guesses.

3. Human-in-the-loop escalation is a feature, not a fallback.

   When a request exceeded what the bot should handle, it pinged a staff member who took over the same conversation seamlessly — families never hit a dead end. Deciding where automation stops was the most important product call in the project.

A Python workflow integrating WhatsApp with the school's internal calendars, filtering available appointment times dynamically. AI-assisted development sped up debugging and iteration.

Eliminated manual scheduling coordination for two staff members and cut response time for families. Delivered to a real client and used by a real school — my only project with a stakeholder who could fire me.

Waitlist automation for full tour slots. A weekly digest for staff of what the bot handled — trust in automation compounds when you can see the work it did.