Zapier, Make or custom code: how to connect your business systems

Every evening, someone in your team copies the day's orders from the online store into the accounts package. Then they update the stock spreadsheet. Then they email the warehouse. It takes an hour, and on a busy day it takes three.

The real cost is not only the hours. Typing mistakes mean wrong invoices and stock you think you have but do not. Customers wait for answers while staff check three screens. And the work grows with every new order, so it quietly limits how far the business can grow.

Most owners reach the same question: should we connect these systems with a tool like Zapier, or pay for something built properly? There is no single right answer. But there is a sensible way to decide.

What the options actually are

There are three broad ways to make your systems share data.

• No-code automation tools. Zapier and Make are the best known. "No-code" means you set up rules on screen without writing software. For example: "when a new order arrives in the store, create an invoice in the accounts package."
• Built-in connectors. Many tools already offer a ready-made link to popular partners. Your store may connect to your accounts package in a few clicks.
• Custom integration. A developer writes code that moves data between your systems. It usually uses each system's API. An API is a set of doors a piece of software opens so other software can read or send data. Some systems also send webhooks, which are instant messages saying "something just happened".

Many businesses end up using a mix. That is often the right result.

Where no-code tools are the right answer

No-code tools are good, and often the cheaper answer. They suit you when:

• The process is simple: one trigger, a few steps, one result.
• The volume is modest, so per-task fees stay low.
• Both systems are popular and already supported by the tool.
• A short delay or an occasional manual fix would not hurt customers.
• You want to test whether an automation is worth having before you spend more.

Typical examples are sending a new web enquiry to your CRM, posting a message to the team when a large order arrives, or saving email attachments to a shared folder. For jobs like these, a custom build is usually money you do not need to spend.

Where no-code tools start to cost you more

Problems appear as the business relies on the automations more. Watch for these signs:

• Many small automations that nobody fully understands. One person set them up. If they leave, nobody knows what depends on what.
• Complex rules. Exceptions, approvals, partial refunds and split deliveries are hard to express on screen. The logic becomes fragile.
• Silent failures. A connection breaks, data stops flowing, and nobody notices for days. Then someone has to find and fix the gaps by hand.
• Rising fees. Pricing is often based on the number of tasks run. As volume grows, the monthly bill grows with it.
• Data you care about. Customer and financial data passes through another company's service. You need to be comfortable with that.

None of these is a reason to avoid no-code tools. They are reasons to know where the limits are.

When a custom integration is worth it

A custom integration costs more to build. In return, you get control. The logic is written down in code, it can handle your exceptions, and it can be monitored properly. Good monitoring means logs that record what happened and alerts that tell someone within minutes when a sync fails.

This small table shows the trade-offs.

Custom work usually makes sense when the process is central to how you make money. Order processing, stock across several sites, and finance are common examples. If a failure there would cost you customers or cash, it deserves a sturdier answer. Sometimes the right move goes further still, and the critical spreadsheet in the middle becomes a proper application.

A practical way to decide

You do not need to choose one approach for everything. Work through each process on its own.

1. Map the work as it happens today. Write down every step, including the copying, checking and chasing. Note who does it and how often.
2. Put a cost on each manual handover. Count staff time, but also errors, delays and customer complaints.
3. Start with the change that pays back fastest. Do not try to connect everything at once.
4. Match the tool to the job. Simple and low-risk: use no-code. Central, complex or high-volume: consider custom.
5. Run the new link alongside the old process. Keep the manual step until the automation is proven. Then switch off the old way.
6. Make failures visible. Whatever you choose, someone should know within minutes when data stops flowing.

If the same numbers already look different in different systems, fix that early. Automating bad data only spreads it faster. Our notes on data and analytics explain how to agree one source of truth.

Questions to ask before you commit

Whether you build it yourself or hire someone, ask:

• Which system holds the master copy of each piece of data?
• What happens when one system is down? Does data queue and retry, or is it lost?
• Who gets told when something fails, and how quickly?
• Who can change the automation if the process changes?
• What will this cost to run at twice today's volume?

Clear answers here matter more than the choice of tool.

The next step

Pick one process that your team repeats every day and dislikes. Map it step by step and estimate what it costs you each month. That one exercise will tell you whether a no-code tool will do, or whether you need something sturdier. If you would like a second opinion on the map, see how we approach integration and automation.