Automation cost has three parts, a one-time build, monthly tool and usage fees, and ongoing care. A single simple workflow is a small project; a multi-system process with AI steps is a larger one. The fastest way to a real number is to map one process and price a small first version.
The three parts of the cost
Budget for all three, not just the build.
- Build (one-time): mapping the process, building and testing the workflow, connecting your systems
- Tools and usage (monthly): your n8n, Make or Zapier plan, plus AI usage fees if an AI model is involved
- Care (ongoing): monitoring, error alerts, small changes when your tools or process change
What makes a project cheaper or more expensive
These factors matter most:
- Number of systems connected (two apps versus eight)
- Run volume: a few runs a day versus thousands
- AI steps that need human review before anything is sent
- Ready-made connectors versus custom API work
- How clean your process and data are today
How to estimate your first project
Pick one task your team repeats every week. Write down the steps, the tools involved and how often it happens. Multiply the minutes saved per run by runs per month. If the saved hours are worth more than the build plus a year of tool fees, it is a good first candidate.
How AUZMS quotes
We start with a free initial call, map one process, and give a fixed price for a small first version that runs on your own data. You see it working before you commit to anything larger.
Questions we hear a lot
Is automation cheaper than hiring someone?
For repetitive, rule-based work it often is, because the cost is mostly one-time plus small monthly fees. For work that needs judgement it is not a replacement, but it can take the routine part off a person.
Do I pay for the tools separately?
Usually yes. Platform plans (n8n, Make, Zapier) and AI usage are billed by the provider. We tell you the expected monthly amount before you decide.