How much does an AI automation agency cost?

What drives the price

Cost depends on four things: how many systems the automation touches, how much judgment it needs (simple rules versus an AI agent), how clean your data is, and how reliable it has to be. A one-off workflow between two tools is a small project. An AI agent that reads documents and updates three systems is a larger one.

Typical project types

Project	Typical scope	Typical timeline
Single workflow automation	One process, two to three tools	1–2 weeks
Automation package	Several related workflows across a department	2–4 weeks
AI agent	Reads documents or messages and takes actions, with approvals	3–6 weeks
AI voice agent	Inbound call handling, qualification and booking	2–4 weeks
Internal tool or portal	Custom app replacing shared spreadsheets	4–8 weeks

We quote every project as a fixed price after a free review, so you know the full cost before work starts.

Ongoing costs to plan for

• Platform subscriptions such as n8n, Zapier or Make, which you pay directly.
• AI model usage, usually a small per-use cost that grows with volume.
• Support and changes, either as needed or on a monthly plan.

Self-hosted n8n can remove most per-task platform fees for high-volume workflows.

How to tell if it is worth it

Multiply the hours the task takes each month by the loaded hourly cost of the people doing it. If an automation pays for itself within six to twelve months, it is usually worth doing. In our case studies, reporting automations cut 4 to 5 hours of work to minutes, and a compliance tool saved more than 30 hours a month.

How to keep costs down

• Automate one high-volume process first and expand once it works.
• Use the tools you already pay for before adding new ones.
• Ask for a fixed quote and a clear list of what is out of scope.
• Make sure you own the accounts and code at the end.

FAQ

Frequently asked questions