Gal Automation Solutions for Businesses - homeWhatsApp

Four real projects

No client names. The numbers here refer to the specific project described.

A travel agency in Thailand

I didn't build it from scratch. They were already covered in chatbots, a CRM and automations, just built in an amateur way. They asked me to fix it. I went in for a month.

agents
3agents
of work
A monthof work
of leads a month, hundreds in strong months
Dozensof leads a month, hundreds in strong months

Before

Over 10 processes

After

3 processes

In the travel agency project, over ten separate processes in Make were consolidated into three.

Before

  • Chatbots, a CRM and automations in Make, with no methodology.
  • Clunky. It didn't work for the owner or for the agents. In practice they worked in Excel.
  • Leads got lost, and were entered into the CRM by hand.
  • Response time to a lead could be hours. Everything depended on the owner logging in, checking, notifying and assigning.

After

  • Lead response time dropped from hours to an immediate response on the alert.
  • Fewer leads got lost.
  • Over 10 processes in Make became three.

What I built

  • Fireberry

    I went through the whole system, learned it, cleaned it up, organized it and adapted it. I added internal automations.

  • ManyChat

    I rebuilt the bots: to collect more details, to follow up, and so leads don't get lost. I dug in, checked what was failing and where, and fixed it.

  • Make

    I rebuilt the automations that pull leads from the bot into the CRM, with a sounder methodology.

  • Lead alerts

    An automation that flags every new lead, instead of checking by hand.

  • Supplier balance

    They didn't have one. Some of the money sits with the business and some with the supplier, and it takes a clear reckoning of who owes whom.

  • Hotel payment tracking

    There are deadlines. The automation pulls them together and sends a reminder on Telegram.

Tools in this project:FireberryMakeManyChatTelegram

A headhunter for senior roles

A process that collects CVs from email, analyzes them, matches them to the roles she defined in Airtable, and uploads them there with all the details. She had a lot of problems in the process. I sorted it all out.

MakeAirtableGPT

A marketer

A simple automation for one of his clients: from a Facebook campaign lead form, straight to a WhatsApp message.

MakeGreen API

A personal development workshop center

They wanted to announce a new workshop to past graduates and leads, but their WhatsApp number had disconnected from ManyChat and the contacts were gone. I reconnected the number, cleaned up the lists from their sheets, submitted message templates to Meta with an opt-out button, and sent in stages. 1,170 messages went out in total. Ahead of the workshop I also set up a daily registrations report from Cardcom.

ManyChatWhatsAppGoogle Sheets

How it works

  1. Diagnostic call

    Before touching anything, I learn how your business really works today. What's manual, what's broken, and what only looks like it works.

  2. Build and test

    I build, and then I try to break it. Every process is tested against edge cases before it goes live: what happens when something's missing, when someone fills it in wrong, when another system doesn't respond.

  3. Handover and support

    You get documentation and a short training video. You know what's running and how, and you don't depend on me to understand your own system.

Got something similar that isn't working the way it should?

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