
Automation
n8n, Make or Zapier: which automation tool should you choose?
· 1 min read
Automation & AI
Artificial intelligence can save your team hours every week, as long as it's applied to the right tasks. I identify those tasks, then put concrete, measurable solutions in place.
A map of each department's tasks and the automation potential of each one.
Projects ranked by time saved, cost and difficulty, with quick early wins.
Document processing, email sorting, meeting notes, drafting replies or product sheets.
Simple rules on allowed data, approved tools and human review.
Conversations with the people doing the work day to day, department by department.
Choosing two or three pilot projects with a fast return on investment.
Setup, measuring the time saved and adjustments with the users.
Extending the solutions that proved themselves and training the teams.
Successful AI projects start with a simple question: which task takes time, repeats itself and brings no value to the person doing it? Choosing the tool comes only afterwards.
Every automation is measured before and after: time spent, response time, errors avoided. You know exactly what AI is bringing you.
The solutions are often built on automation with n8n. For customer service, see the AI agent and the WhatsApp chatbot.
With repetitive, text-based tasks: answering frequent questions, summarising documents, extracting information from invoices or purchase orders. The gains there are quick and easy to measure.
Current models understand French and Arabic well, and Darija better and better. Every solution is tested on your real messages before going live.
By keeping human approval on important decisions, limiting AI to well-defined tasks and giving it access to your up-to-date information rather than general knowledge.

Automation
· 1 min read

Automation
· 1 min read
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