How to Build Maintainable Make.com Automation Workflows

Automation is easy to start.

Maintenance is the part that usually gets harder.

When I first started building automation workflows, my main question was:

"Can I automate this?"

Later, I started asking a different question:

"Will I still want to maintain this workflow six months from now?"

That second question changed how I design automations.

Here's the approach I'm using now.

Start with one clear responsibility

A common mistake is trying to make one Make.com scenario do everything.

For example:

Webhook → Check payment → Send email → Send Telegram notification → Update Notion → Create customer record → Send follow-up → Update analytics

It looks efficient.

But as the workflow grows, it becomes harder to understand what each part is responsible for.

I prefer to start with one clear purpose.

For example:

Payment → Validate order → Record order

Then another workflow can handle notifications.

And another one can handle follow-up.

The goal is not to minimize the number of scenarios.

The goal is to minimize unnecessary complexity inside each scenario.

Give each tool a specific job

One of the simplest ways to keep an automation maintainable is to give each service a clear responsibility.

For example, in my digital product workflow:

Payhip → Transaction → Make

From Make, the workflow can branch into:

Telegram → Notification

Notion → Order record

Payhip handles the transaction.

Make handles the workflow logic.

Telegram handles notifications.

Notion stores operational data.

This makes debugging much easier.

If a notification doesn't arrive, I know where to look.

If an order isn't recorded, I can check the Notion branch.

If the trigger doesn't happen, I start with the payment event.

Clear responsibilities reduce the number of places you need to investigate.

Validate data before doing anything important

Another problem I encountered was assuming that incoming data would always look exactly as expected.

It usually does.

Until it doesn't.

A webhook might contain:

• missing fields
• unexpected values
• empty customer information
• different product data
• duplicated events

So I prefer to validate important data early.

Conceptually:

Trigger → Validate → Process → Action

Instead of:

Trigger → Action → Action → Action → Something fails

A small validation step can prevent much bigger problems later.

Don't duplicate logic everywhere

Imagine you have several workflows that need to determine whether an order is valid.

If every workflow implements the logic differently, maintenance becomes difficult.

One workflow might check:

status = paid

Another might check:

payment_status = completed

And another might simply assume the webhook means the payment succeeded.

Now you have three different interpretations of the same event.

Reusable logic and consistent data structures make automation systems much easier to reason about.

Logging is part of the workflow

One thing I think is often overlooked is logging.

When an automation works, you don't think about it.

When it fails at 2 AM, you suddenly want to know:

• What triggered it?
• What data did it receive?
• Which step failed?
• Was the customer affected?
• Did the order get recorded?
• Did the notification get sent?

A simple log can make these questions much easier to answer.

For example, a basic order log could contain:

• Order ID
• Customer
• Product
• Timestamp
• Status
• Error

You don't necessarily need a complicated monitoring platform.

Sometimes a structured record in Notion or another database is enough for a small business.

Design for failure

An automation that works only when everything goes perfectly isn't really finished.

For example:

Payhip → Make → Notion

What happens if Notion is temporarily unavailable?

Or if the incoming data is incomplete?

Or if the same event is received twice?

These situations should be considered during the design stage.

For a small workflow, this doesn't need to become an enterprise engineering project.

But at minimum, I want to know:

1. What can fail?
2. How will I notice?
3. Can the workflow be safely retried?
4. Could a retry create duplicate data?

These questions become increasingly important as the number of customers grows.

Avoid unnecessary branches

Make.com makes it very easy to keep adding routers, filters, conditions, and modules.

That's useful.

But it's also dangerous.

Every additional branch creates another thing to understand later.

Before adding another condition, I now ask:

"Does this remove meaningful manual work?"

If the answer is no, I probably don't need it yet.

This has helped me avoid building automation just because the tool makes it possible.

Keep the workflow readable

A workflow should be understandable by someone who didn't build it yesterday.

I like using simple names for important modules.

Instead of names such as:

HTTP 4

Notion 7

Telegram Bot 16

Router 3

use names such as:

Validate Order

Create Order Record

Send Telegram Notification

Handle Failed Order

Six months later, these names matter.

Good naming is a small thing, but it reduces cognitive load when debugging.

When should you split a workflow?

I don't think there's one universal rule.

But a useful signal is when one workflow starts having several unrelated responsibilities.

For example:

Order Processing → Customer Management → Email Marketing → Analytics → Support

At that point, I would consider splitting the system into smaller workflows.

For example:

Workflow 1: Payment → Order Record

Workflow 2: Payment → Telegram Notification

Workflow 3: Customer → Email Follow-up

The exact architecture depends on the business.

The important thing is that each workflow should have a reason to exist.

My current rule for automation

I've started using a simple rule:

Automate repetitive work.

Don't automate complexity just because you can.

This sounds obvious, but it's surprisingly easy to forget.

Every automation has a maintenance cost.

You have to understand it.

You have to debug it.

You have to update it when another service changes.

You have to know what happens when something goes wrong.

So the best automation isn't necessarily the one with the most modules.

It's the one that removes meaningful repetitive work while remaining understandable.

A simple architecture to start with

For a digital product business, a small system could look like this:

Customer → Payhip → Purchase Event → Make

From Make:

Notion → Order Record

Telegram → Notification

Start there.

Then add another workflow only when you have a real reason.

Maybe you need customer follow-up.

Maybe you need lead capture.

Maybe you need analytics.

Add it when the manual work becomes a problem.

Not before.

Final thoughts

The biggest lesson I've learned from building automation systems is that the difficult part isn't connecting tools.

It's designing a system that you won't regret maintaining later.

Make.com gives you a lot of flexibility.

That's powerful.

But flexibility also means it's easy to build something much more complicated than you actually need.

So now I try to optimize for three things:

Clarity.

Reliability.

Maintainability.

If an automation can save time without becoming another system I have to constantly babysit, that's a good automation.

That's the standard I'm trying to build toward.

More Automation Examples

I'm also collecting reusable digital product automation workflows and examples on GitHub.

You can find them here:

Hermes Digital Product Automation Library