Specialism
Make.com automation consultant
Scenario design, module economics, and the error handlers nobody adds until something breaks — that is where a Make.com build either holds up or quietly starts dropping work. We do that part, on scenarios we build and on scenarios you already run.
The work
What does a Make engagement actually cover?
Four decisions account for most of the difference between a scenario that runs for a year and one that needs weekly babysitting: how the scenario is decomposed, how failures are handled, how the operation count behaves under load, and how much logic is duplicated across scenarios.
Scenario decomposition. The visual builder makes it easy to keep appending modules until one scenario does five jobs. That scenario becomes impossible to test in isolation, and a change to one branch risks the other four. We split by trigger and by owner, and connect the pieces through webhooks or a data store rather than through one long chain.
Error handling. Make gives you directives — break, resume, rollback, ignore, commit — attached per module. Most scenarios we inherit use none of them, so the first timeout from a third-party API stops the run with half the work done. Choosing the right directive per branch is a business decision, not a technical one: it is the answer to "if this step fails after the invoice was created, what should happen?"
Operations and rate limits. Every module call is billable and every downstream API has its own limit. A scenario that is fine at ten records a day can be both expensive and throttled at a thousand. Aggregators, early filters, webhook triggers in place of polling, and sleep or batching sized to the published API limit are the usual fixes.
Reuse. When four scenarios each contain their own copy of the same enrichment logic, one of them is always out of date. A shared subscenario called over webhook, with the mapping documented, removes that drift.
| Dimension | Left to default | Designed deliberately |
|---|---|---|
| Scenario complexity | One scenario grows to cover several unrelated jobs | Split by trigger and owner; pieces joined by webhook or data store |
| Error-handling patterns | No handler routes; the run stops mid-way and nobody is told | A directive chosen per risky module, with unresolved items parked and a person alerted |
| Operations consumption | Polling triggers and per-record searches run whether or not there is work | Webhook triggers, early filters and aggregators sized to real volume |
| API rate limits | Fine in testing, throttled the first busy morning | Batching and backoff set from each vendor's published limit |
| Module reusability | The same logic copied into several scenarios and edited in one | A shared subscenario with documented input mapping |
| Change control | Edited live, with no way back to yesterday's version | Blueprints exported and versioned; changes reviewable and reversible |
Connections are credentials. A Make connection is a stored authorisation to act inside your CRM, mailbox or accounting system, so it deserves the same treatment as any other secret: least privilege on the scope it requests, an owner who is not a departing employee's personal account, and a rotation plan. We follow the practices set out in NIST's guidance on a secure software development lifecycle (opens in new window) for the change-control and credential-handling side of automation work.
Where it fits
Choosing a platform, and what happens after you have
If the platform question is still open, start with n8n vs Zapier vs Make, which compares hosting model, pricing unit, connector breadth and code steps without picking a winner for you. If the answer comes back n8n — which it often does for AI-heavy or high-volume work — our n8n consulting page covers what a build there involves instead. If the scenarios mostly shuttle data between Microsoft 365 services, the honest comparison is not another orchestrator at all: our Microsoft Power Automate consultant page sets out what your tenant may already licence, and where a flow beats a scenario for work that never leaves it. And if any scenario would carry patient data, settle that before anything else: our answer on whether Make.com is HIPAA compliant explains why the BAA decides it, and what healthcare teams use instead.
Once the platform is settled the work stops being about the tool. The service page for workflow automation describes how we scope, build and hand over a process regardless of what it runs on, and our guide to what automation actually costs explains why the number tracks integration surface far more than it tracks platform fees.
Where the scenarios read and write a shared base rather than a database proper, the trouble usually starts one layer down, in the data. Our page on Airtable base design and automation covers the schema work, record hygiene and API limits that decide whether a scenario syncing against it stays reliable.
Rebuilding versus repairing
A common request is a second opinion on scenarios somebody else built. We audit what is there, say plainly which scenarios are worth repairing and which are cheaper to rebuild, and tell you when the honest answer is that they are fine and you do not need us. Nothing in that audit depends on you moving platform.
Where the audit does conclude that Make itself is the constraint — usually operations consumption, occasionally the error model — the Make.com to n8n migration page sets out what the exit involves and what it costs you in effort.
Arriving from the other direction is a different project again. If the scenarios do not exist yet because the work is still sitting in Zaps, the Zapier to Make.com migration page covers how Paths, Filters and Formatter steps are re-expressed as routers, connection filters and inline functions before any of this consulting work begins.
Questions
Practical questions about scenario work
Do you work in Make, or only in n8n?
Both. We build a majority of client work on n8n, but plenty of businesses already run on Make and have no reason to migrate. If your scenarios work and your team knows the visual builder, the sensible engagement is to harden and extend what exists rather than rebuild it somewhere else.
Our scenarios keep stopping halfway through. Can that be fixed?
Usually, yes. A scenario that dies mid-run has almost always been built with no error handler on the modules that touch a third-party API. The repair is to add explicit handling per risky module, decide per branch whether a failure should retry, park the bundle, or roll back, and route what cannot be resolved to a person.
How do we stop operations consumption from climbing every month?
By counting modules rather than scenarios. Make bills per module call, so a polling trigger that runs constantly, an iterator that fans one bundle into hundreds, and a search module used where a stored id would do are the usual causes. Webhook triggers, aggregators and filters placed early cut the count without changing the outcome.
Can you hand a scenario over so our own team can maintain it?
That is the intended end state. Scenarios stay in your organisation on your own connections, blueprints are exported so a change can be reviewed and rolled back, and you get a written runbook covering what each scenario does, what its error paths mean, and who to call when an alert fires.
Free consultation
Tell us what is costing you the most time
Describe the process. You get a straight read on whether it is worth automating, roughly what it would take, and what we would tackle first — on a call that costs nothing.
- Under an hour, free, and no obligation
- Fixed price per stage, agreed before any work starts
- You own everything we build, documented and in your accounts
- If you do not need us, we will say so on that call
The form is the fastest way to reach us — we reply from a real person, usually within one business day.