Workflow Automation (n8n / Make.com)

Most businesses don’t have an automation problem, they have an accumulation problem. Someone set up a Zap two years ago to sync new Shopify orders into a spreadsheet. Then another one to push leads from a form into the CRM. Then one more to post order confirmations into Slack. Each one made sense on its own. Eighteen months later there are eleven of them, nobody remembers what half of them do, one is silently failing every Tuesday, and the monthly bill for a tool that was supposed to save time now needs its own line item review. That’s the point where “quick Zap” becomes a maintenance liability: no version history, no shared visibility into what’s actually connected to what, and a single point of failure sitting in an ex-employee’s personal account.

We design workflow automation the way we’d design any other piece of infrastructure: with logging, retries, and an owner. For most clients that means self-hosted n8n on a small VPS, usually a low-cost VPS droplet running in Docker, which gets you unlimited workflow executions, full control over data residency, and no per-task metering. For teams that want zero infrastructure to think about, or that need connectors n8n doesn’t cover as cleanly, Make.com is often the better call — its visual data mapper and built-in error handlers are hard to beat for finance and ops workflows where a human needs to glance at the scenario history and understand it. We’ll tell you honestly which one fits your situation rather than defaulting to whichever we prefer building in.

What we actually build

Most of the work is webhook-driven integration between the systems that already run your business: new order in WooCommerce creates a customer record in your CRM and a tagged contact in your email tool; a form submission on your WordPress site checks for an existing lead before creating a duplicate; a Stripe payment failure triggers a dunning sequence instead of a silent churned customer. We also build the less glamorous but more valuable stuff: nightly reconciliation jobs that compare two systems and flag mismatches, inventory sync between a warehouse system and three sales channels, scheduled reports that used to eat someone’s Monday morning.

The part that separates a workflow that runs for years from one that breaks quietly is error handling, and it’s the part most DIY automations skip entirely. We build retry logic with exponential backoff for flaky third-party APIs, dead-letter queues so a failed run doesn’t just vanish, and alerting that goes to a Slack channel or email the moment something needs a human. A payment gateway timing out shouldn’t mean a lost order; it should mean three automatic retries and, if all three fail, a ticket that says exactly which record needs attention and why. We also log every execution somewhere queryable, so when a client asks “did the Tuesday sync run?” the answer takes ten seconds to find, not an afternoon of guessing.

When this isn’t the right service

If you need to connect two mainstream SaaS tools with a single trigger and no branching logic, and you’re already paying for Zapier or Make, just build that one yourself or use their AI builder. We would rather tell you that up front than bill for an hour of work you could do in fifteen minutes. Where we earn the fee is in the workflows with real logic: multi-step processes, conditional branching, data transformation between systems that don’t speak the same format, or volume high enough that per-task pricing on a hosted tool starts costing more than a VPS would. If your process changes every few weeks because the business itself is still figuring out its shape, that’s also worth knowing before we build something rigid around it — we’ll usually suggest a lighter, more manual bridge until the process settles.

Every engagement starts with a map of what’s currently connected, what’s breaking, and what’s still done by hand, so the two of us are looking at the same picture before anything gets built.