What we build in Zapier

What it is, and where it sits

Zapier connects apps through Zaps: a trigger and a sequence of actions. It has the largest connector library in the market and the most forgiving interface, which is why it is most people's first encounter with automation.

We are happy to work in it, and we will also tell you when you do not need us. If your requirement is a trigger and two actions between two mainstream tools, build it yourself in an afternoon.

What we build in it

• Simple cross-app notifications and record creation
• Form-to-CRM-to-notification chains with light logic
• Extending an existing Zapier estate a team already maintains
• Rescuing and restructuring a sprawl of Zaps built ad hoc over years
• Migrations off Zapier to Make or n8n when cost or complexity has outgrown it

How it is priced

Priced per task — roughly one action step executed once. Tiers step up in task allowance, and multi-step Zaps with filters consume tasks quickly.

The pattern we see repeatedly: Zapier is genuinely cheap for the first few simple automations, and the bill grows faster than expected once workflows gain branches and volume. The usual crossover is somewhere around the point where you have a dozen multi-step Zaps running daily.

Model it before scaling. If your projected cost is meaningfully above Make's for the same work, the migration is worth costing.

When it is the right choice

• The automation is genuinely simple — a trigger and a couple of actions
• Your team already lives in Zapier and maintains it comfortably
• You need a connector that exists in Zapier and nowhere else, which does happen
• Speed matters more than running cost, for example proving a concept quickly

Limits worth knowing before you commit

• Cost at scale. The clearest weakness. Multi-step workflows at volume get expensive relative to alternatives.
• Branching logic is awkward. Paths exist but complex conditional trees become hard to maintain.
• Error handling is thinner than Make's or n8n's, which matters most on workflows touching money.
• Little visibility into historical runs compared to the alternatives, which makes debugging harder.