Where Power Automate Ends — and Custom Code Begins

Power Automate is an incredible tool. You can build complex workflows with zero code.

But eventually, you'll hit a wall.

Not because Power Automate is bad—but because no-code tools have inherent limits.

Real example: My Document AI Starter is an example of extending automation beyond connectors.

---

Where Power Automate Excels

Power Automate is perfect for:

• Moving data between systems (SharePoint → Excel → Email).
• Triggering actions (when a file is uploaded, send a notification).
• Standard connectors (Office 365, Dynamics, Azure).

If your workflow is "When X happens, do Y," Power Automate is often the best choice.

Connectors vs. Custom Logic

Power Automate relies on pre-built connectors.

If the connector exists and does exactly what you need, you're set. But if you need custom logic that doesn't fit a connector, you're stuck.

Example:

• ✅ Power Automate has a SharePoint connector → Easy.
• ❌ Power Automate doesn't have a niche Document AI connector → Hard.

You can use the HTTP connector to call any API, but now you're writing JSON payloads manually. At that point, why not just write Python?

AI Gaps

Power Automate has "AI Builder" for simple tasks (form recognition, sentiment analysis).

But for advanced AI (like Google Cloud's Form Parser), there's no built-in connector.

This is where custom code wins:

• You can call any API.
• You can handle complex responses.
• You can add custom validation logic.

When to Extend with Python

Here are the red flags that tell me to switch from Power Automate to custom code:

1. Complex Data Transformation — Nested loops, regex, custom parsing.
2. No Connector Exists — You need to call an obscure API.
3. Performance — Processing 1,000 items in Power Automate is slow and expensive.
4. Version Control — Power Automate flows are hard to track in Git.
5. Local Testing — You can't easily test Power Automate flows on your laptop.

Hybrid Stacks (Best of Both Worlds)

You don't have to choose one or the other.

Use Power Automate for:

• Triggers (email received, file uploaded).
• Actions (update SharePoint, send email).

Use custom code (Python) for:

• Complex logic (AI processing, data transformation).
• APIs without connectors.

Example Hybrid Flow:

1. Power Automate detects a new file in OneDrive.
2. Power Automate calls your Python API (hosted on Azure Functions).
3. Python processes the file (using Document AI).
4. Python returns the result to Power Automate.
5. Power Automate writes the result to SharePoint.

Conclusion

Power Automate is a fantastic starting point. But don't force it to do things it wasn't designed for.

When you hit limitations, that's your signal to level up with custom code.