One thing I realized after building AI automations...
AI is only as good as the systems it can connect with.
And that's where APIs come in.
Whether you're a Business Analyst gathering requirements or building AI workflows, APIs are everywhere.
CRM → API
WhatsApp → API
Payment Gateway → API
Google Calendar → API
Email Automation → API
The biggest mistake I see?
People spend hours memorizing HTTP methods and status codes...
But struggle to answer questions like:
• How would this API fit into the business process?
• What data needs to be exchanged?
• What happens if the API fails?
That's what actually matters in real projects.
My Business Analyst background taught me that before connecting two systems, you first need to understand why they need to talk in the first place.
The technology is the easy part.
Understanding the business problem is where the real work happens.
If you're a BA looking to move into AI Automation, APIs are probably one of the best places to start.
These are the concepts I'd focus on:
✅ API Fundamentals
✅ REST vs SOAP
✅ Request vs Response
✅ JSON
✅ Authentication
✅ HTTP Methods
✅ Postman
✅ Error Handling
Master these, and you'll understand how most modern AI automations communicate with other systems.
Attached document hope it helps..🫡
Curious...
What's the first API you ever worked with, or the one that confused you the most?