The Three Automation Approaches, Explained

If you are looking at automating parts of your business, you have basically got three options. Each one solves a different type of problem, and getting this wrong wastes money and time.

Here is how they compare at a high level before we get into the detail.

Zapier: The Easy Starting Point

Zapier is the default for a reason. It connects over 7,000 apps and you can have a basic workflow running in fifteen minutes. No code, no technical knowledge needed.

For straightforward tasks, it works brilliantly. New form submission goes into your CRM. New payment triggers a Slack notification. Client books a call and gets a confirmation email. Stuff like that.

The problem starts when you need anything more than a straight line. If your workflow needs to branch ("if the invoice is over $5,000, route to the director for approval, otherwise process automatically"), Zapier gets clunky fast. You end up building multiple Zaps that need to talk to each other, and it turns into a maintenance headache.

Make: The Power User's Choice

Make (formerly Integromat) handles complexity better than Zapier. It supports branching, loops, data transformation, and error handling natively. If your automation needs logic beyond "when X happens, do Y," Make is usually the better platform.

It is also significantly cheaper per task. Roughly 10x more automation capacity for the same price, depending on your plan. For businesses running high-volume workflows, that adds up.

The trade-off is a steeper learning curve. Make's visual workflow builder is powerful but takes more time to learn than Zapier's click-and-go approach. You are not writing code, but you are building proper logic flows.

Custom AI: Built for Your Operations

Custom AI automation is a system built specifically for how your business works. Not a platform you configure, but software designed around your exact processes, data, and decision-making. If you are curious what this looks like in practice, our post on how AI agents work in business goes deeper.

At AMPL, this is what we do for clients whose operations are too specific or too complex for off-the-shelf tools. The system connects directly to your CRM, email, accounting tools, and whatever else you use. It can read data, make decisions based on your rules, and take actions across multiple systems.

The difference is the intelligence layer. Zapier and Make execute steps. Custom AI understands context. It can handle "it depends" situations that would break a platform-based automation.

When Does Zapier Stop Being Enough?

This is the question most businesses hit eventually, and there are clear signals.

You have more than 10-15 Zaps running. Once you get past a certain number of workflows, managing them becomes a job in itself. Which Zap handles which trigger? Why did this one stop running last Tuesday? You spend more time maintaining the automations than the automations save you.

You are hitting Zapier's logic limitations. You need conditional branching, you need to aggregate data from multiple sources before making a decision, or you need a workflow that loops through a list of items. Zapier was not built for this.

Your costs are climbing. Zapier charges per task. As your business grows and your workflows fire more often, your bill grows with it. Businesses doing 10,000+ tasks per month often find themselves paying $100-$300/month for workflows that are still fairly basic.

Things break and nobody knows why. Platform automations fail silently when an app updates its API or changes a field name. If you do not have someone checking daily, broken workflows go unnoticed for days.

Where Make Beats Zapier (and Where It Doesn't)

Make wins on three fronts: complex logic, cost efficiency, and data manipulation. If you need routers, iterators, or aggregators, Make handles them natively where Zapier requires workarounds.

But Make is not always the answer either.

Make's integration library is smaller. If you rely on a niche app, check whether Make supports it before switching. Zapier's 7,000+ integrations mean it almost certainly does.

Make also requires more upfront investment in learning. If you just need a few simple workflows and do not have the time to learn a new tool, Zapier's simplicity is genuinely worth paying for.

The honest recommendation: for businesses running fewer than five simple workflows, Zapier is fine. For anything more complex or higher volume, Make is the better foundation.

What Custom AI Automation Actually Looks Like

This is the part most comparison articles skip entirely, because most of them are written by the platforms themselves.

A custom AI automation is not a chain of pre-built connectors. It is a purpose-built system. Here is a real example of what that means in practice.

One of our clients had a process where incoming enquiries arrived via email, web form, and phone. Each one needed to be categorised, the client record needed to be pulled from the CRM, and the right team member needed to be assigned based on the enquiry type, the client's history, and current team capacity.

In Zapier or Make, this would require multiple workflows, manual data lookups, and someone still making the routing decision. The custom system handles the entire thing. It reads the enquiry, pulls the context, applies the routing logic, assigns the team member, and sends the notification. All within seconds, all without anyone touching it.

The build takes longer. It costs more upfront. But the operational cost drops significantly once it is running, and it does not break when an app pushes an update.

How to Choose: A Practical Decision Framework

Rather than giving you a vague "it depends," here is a straightforward way to decide.

Choose Zapier if:

• You need fewer than 10 simple, linear workflows

• Your processes are straightforward "when X, do Y" triggers

• You want something running in hours, not weeks

• You do not have a technical person on your team

Choose Make if:

• Your workflows need branching, loops, or data transformation

• You are running high-volume automations and cost matters

• You have someone willing to invest time learning the platform

• You need more control over error handling

Choose custom AI if:

• Your processes involve judgement calls or "it depends" decisions

• You have tried Zapier or Make and hit their ceiling

• Multiple systems need to work together with shared context

• The manual version of the process costs your team significant hours every week

• You need the system to handle exceptions, not just the happy path

Plenty of businesses use a mix. Simple notifications and data syncs stay on Zapier. Complex operational workflows get built custom. There is no rule that says you have to pick one.

The Real Costs (Not Just the Subscription Price)

Subscription pricing is the easy comparison. The real cost is harder to see.

Zapier: $20-$70/month for most small businesses, but that does not include the staff time spent building, monitoring, and fixing Zaps. When a workflow breaks at 10pm, someone still has to investigate it in the morning.

Make: $9-$16/month for similar volume, but the learning curve means more time upfront. The ongoing cost is lower, especially at scale, but you need someone who understands the platform.

Custom AI: Higher upfront investment, typically thousands rather than tens of pounds. But the ongoing cost is lower because the system is built with proper error handling, monitoring, and self-recovery from the start. For a process that costs your team 20+ hours per week manually, the payback period is usually measured in weeks, not years.

We cover how to calculate that ROI properly in our guide to AI automation for small business. The question to ask yourself: what is the manual version of this process costing you right now? If the answer is "two staff members spending half their day on it," the maths changes quickly.

FAQ

Can I switch from Zapier to Make without losing my workflows?

You cannot directly export Zapier workflows into Make. You need to rebuild them. The good news is that Make's visual builder makes it fairly quick once you understand the platform, and most businesses find they can improve their workflow logic during the migration.

Is custom AI automation only for large businesses?

No. It is about complexity, not company size. A 15-person service business with complicated operations can benefit more from custom AI than a 500-person company with simple workflows. The deciding factor is whether your processes have enough complexity and volume to justify the investment.

How do I know when I have outgrown Zapier?

Three signs: your Zapier bill keeps climbing, you have workflows that require multiple Zaps to accomplish one task, and you are spending more time fixing broken automations than they are saving you. If you recognise two or three of those, it is time to look at alternatives.

Can custom AI automation integrate with Zapier or Make?

Yes. Many custom builds sit alongside existing platform automations. You keep the simple stuff on Zapier or Make and build custom for the complex processes. They can share data through webhooks, APIs, or direct integrations.

What happens if my custom AI system needs updating?

Updates and maintenance are part of any properly scoped project. At AMPL, our retainer clients get ongoing support and system improvements as their business changes. The system evolves with you, which is the whole point of building custom rather than configuring a platform.

If you are not sure which approach fits your business, we can help you figure it out. Book a free audit at amplconsulting.ai and we will map your processes and recommend the right path.