Zapier automation

Zapier Automation Services

Zapier is the fastest way to connect two systems and the easiest platform to outgrow without noticing. We build Zaps that hold up in production, fix the ones that fail silently, and say plainly when the task count means it is time to move.

What we build

Zaps that survive bad data

Filters, formatters and paths that handle the record with a missing field instead of failing halfway and leaving the job half done.

Cleaning up an account that grew by itself

Most accounts we open have duplicate Zaps, orphaned steps and three versions of the same workflow. We map what is actually running before changing anything.

Migrations to Make or n8n

When the task count stops making sense, we move the workflows rather than rebuild them from memory — and keep both running until the new one is proven.

Error handling and alerting

A Zap that stops at 2am should tell someone. We add the paths, the retries and the notification so a silent failure becomes a message.

Where it stops

Every tool has limits worth knowing before you build on it. These are the ones that change a decision.

  • Pricing is per task, and every step in a Zap counts as one. A workflow with six steps consumes six tasks per run, which is what makes volume expensive rather than the number of Zaps.
  • Branching is possible with Paths, but complex logic gets hard to read quickly. Once a workflow needs loops, error branches and shared sub-flows, it belongs on a platform built for it.
  • There is no proper version history or staging. Editing a live Zap edits production, so changes to anything critical need their own discipline.
  • Self-hosting is not an option. Where data residency is a requirement, Zapier is off the table before the conversation starts.

Zapier FAQ

When is Zapier the right choice, and when is it not?
Zapier is the right choice when the workflow is simple, the volume is modest, and the people maintaining it are not developers — that combination is exactly what it was designed for, and moving it elsewhere buys nothing. It stops being the right choice on task cost at volume, on logic that needs real branching and loops, and on anything requiring self-hosting. The honest test is whether you are fighting the platform: if every new requirement needs a workaround, you have outgrown it.
How much does Zapier actually cost at volume?
More than most people estimate, because the unit is the task rather than the workflow. Every action step in a Zap consumes a task each time it runs, so a six-step workflow processing a thousand records a month is six thousand tasks, not one thousand. This is the single most common surprise on the bill, and it is also the most common reason a migration pays for itself.
Can you fix Zaps somebody else built?
Yes, and it is a large part of this work. We start by mapping what is actually running — which Zaps are live, what they touch, and which ones duplicate each other — because accounts that grew organically usually contain several versions of the same workflow with no note about which one is authoritative. Fixing the individual Zap is rarely the hard part.
Should we migrate to Make or n8n?
Only if there is a specific reason: task cost that has become material, logic Zapier cannot express cleanly, or a self-hosting requirement. Migrating for its own sake trades a working system for a rebuild. When there is a reason, we keep both running in parallel until the new one has proven itself on real data rather than switching over on a Friday.

Need help automating a process?

Tell us about the repetitive work on your team—we’ll map a practical custom automation plan.