Make scenarios built to be read, tested and handed over.
We design and build Make.com scenarios for lead handling, orders, documents, reporting and internal approvals. Each one is mapped before it is built, tested with awkward data, and delivered with error handling and notes that your own team can follow.
When is Make the right tool for automation?
Make is a good fit when a workflow connects well-known apps, follows rules a non-developer can read, and runs at a volume that fits usage-based pricing. Its visual scenarios let business staff follow each step, which makes handover easy. It is a weaker choice for heavy data processing, very high volume or logic that needs code and tests. We check these points first, and say plainly when n8n or custom code would serve you better.
How a Make scenario is put together.
A scenario is a chain of modules. Good ones follow a pattern that makes each stage easy to test and change.
The parts we design
- Trigger. A webhook, a watched app event or a schedule starts the run, and we decide what to do if the same event arrives twice.
- Filters and routers. Conditions split the flow, so a high-value lead goes one way and a spam submission is stopped early.
- Mapping. Fields are converted between formats, dates and currencies are normalised, and empty values are handled deliberately.
- Iterators and aggregators. Lists such as order lines are handled one item at a time, then gathered back into a single record or document.
- Data stores. Small internal tables hold IDs and states, which is how a scenario remembers what it has already done.
We sketch this chain on paper with you first. Most design mistakes are easier to see in a drawing than inside the editor.
Everyday jobs that Make handles well.
These are real patterns that suit the platform. We pick from them as starting points and adapt to your tools.
Lead intake
Form entries are checked, enriched, added to a CRM or sheet, and the right person is notified in chat.
Order and invoice flow
A paid order creates an invoice, updates stock and sends a delivery notice, with each step logged.
Document generation
Data from a form or database fills a template, produces a PDF and files it in the right folder.
Approvals
A request goes to a manager by message or email, and the answer updates the original record.
Reporting
Figures from several tools are collected on a schedule and sent as one clear summary.
Content operations
New posts, products or listings are published across channels from a single source.
Make, n8n or custom code?
Different workflows suit different tools. This table is how we begin the conversation, not how we end it.
| Criteria | Make | n8n | Custom code |
|---|---|---|---|
| Readability | Strong visual maps | Visual with code nodes | Depends on code quality |
| Hosting | Hosted by Make | Hosted or self-hosted | Your server |
| Complex logic | Possible, gets crowded | Better with code steps | Best, with tests |
| Pricing shape | Usage-based operations | Usage or server cost | Build and hosting cost |
| Ownership | Locked to the platform | Portable if self-hosted | Fully yours |
Where Make is not the best answer.
A good platform choice includes knowing when to look elsewhere. These cases usually point away from Make.
Very high volume
Millions of small events turn usage-based pricing into a large monthly bill, where a custom service or a self-hosted tool costs less.
Heavy data crunching
Large files, complex calculations and long-running jobs fit better in code that runs on your own server.
Strict data residency
If records must stay in a specific country or system, a platform hosted elsewhere may not be acceptable.
Deep business logic
Long chains of nested conditions become hard to read in a visual map, and are easier to test as code.
Error handling that someone will notice.
By default, a failed module simply stops the run. Production scenarios need a deliberate answer to every failure.
What we build in
- Error routes. Each risky module has a path that decides whether to retry, skip, store for review or alert.
- Retries with limits. Temporary problems are retried a few times, while permanent ones are not retried forever.
- Duplicate protection. Record IDs are checked before writing, so a restarted run does not create a second invoice.
- Named alerts. A failure sends a message with the scenario name, record and reason to a person who owns it.
Where a flow needs deeper contracts and replay tools, we combine it with custom work from our API integrations service.
How a scenario goes from sketch to live.
The process is designed so you can see progress early and approve each stage.
- 01
Process map
We draw the current flow with the people who do it, including exceptions that nobody wrote down.
- 02
Account and access
Make workspace, connections and permissions are set up in your organisation's name.
- 03
Build the main path
The most common case is built first and tested with real examples.
- 04
Add edge cases
Empty fields, odd characters, duplicates and failures are added with their own routes.
- 05
Parallel run
The scenario runs beside the manual process for a short period so results can be compared.
- 06
Handover
You receive documentation, a short walkthrough video and an alert route.
Habits that make scenarios fragile.
When we inherit existing Make accounts, we usually find the same few problems. They are all avoidable.
One giant scenario
A single scenario with forty modules does everything, fails in the middle and is nearly impossible to debug. Smaller linked scenarios are safer.
No test data
Changes go straight to the live scenario with real customers, because nobody built a safe copy to try them on.
Personal accounts as connections
The connection uses a former employee's login, and the flow breaks the day that account is closed.
Silent failures
Error emails go to an unwatched inbox, so a broken scenario can run unnoticed for weeks.
Why operations decide the bill.
Make charges by usage, so a design that wastes steps becomes expensive at volume. We design for lean runs.
How we keep cost down
- Filter early. Stop unwanted records before they pass through many modules.
- Batch where possible. Group items so one run processes many records rather than one run per record.
- Right schedule. Poll at a sensible interval instead of every minute when hourly is enough.
- Use webhooks. Instant triggers avoid empty polling runs.
- Forecast usage. We estimate monthly operations from your volume and show the effect of growth.
Plan limits and prices change, so check Make's current pricing page with us before budgeting.
Keeping scenarios tidy over time.
Visual platforms get messy when many people edit freely. A few habits prevent that.
Good habits we set up
- Clear naming. Scenarios, folders and modules are named in plain language so anyone can find what they need.
- Notes on modules. Non-obvious steps carry a short note explaining why they exist.
- Limited access. Editors, viewers and admins are separated, and former staff lose access promptly.
- Exportable blueprints. Scenarios are saved as blueprints so they can be restored or moved.
If you prefer to self-host or write more code, our n8n automation page covers the alternative.
Make questions, answered.
Straight answers to what clients ask before they start.
Is Make the same as Integromat?
Yes. Integromat was renamed Make. Existing Integromat scenarios continue to work inside the Make platform, and we can review or rebuild them.
How do I know whether Make or n8n suits me?
If non-developers will edit the workflows and the volume is moderate, Make is a comfortable choice. If you want self-hosting, heavy logic or lower per-run cost at volume, n8n may be better.
Can Make connect to my WordPress or WooCommerce site?
Yes, through the WordPress and WooCommerce modules, webhooks or the REST API. For custom data we sometimes add a small plugin to expose exactly what the scenario needs.
What if Make or a connected app has an outage?
Scenarios can queue incomplete runs and retry. We also add alerts and a replay path, so records are not silently lost.
How much does a Make project cost?
Build cost depends on the number of apps, branches, exceptions and testing needed. Running cost depends on your plan and monthly operations. We show both before you decide.
Who owns the scenarios?
You do. The workspace is under your account, and we are invited as collaborators for the project. When the work ends, we remove our access and hand over the documentation, so nothing depends on us staying involved.
Can you take over scenarios someone else built?
Yes. We audit them for fragility, cost and security, document what exists and then fix or rebuild the weak parts.
Can Make use AI services?
Yes, with modules for AI providers. We add checks or approval steps, because AI output should not trigger irreversible actions without review. See AI automation for more.
Turn a repeated task into a scenario.
Describe the task, the apps involved and where it goes wrong today. We will reply with a simple sketch of the scenario, the likely operations per month and any risks we see, whether or not Make turns out to be the right tool.