How much does AI automation cost for a small business?
Straight answer: it depends on the process, but you can reason about it before you talk to anyone. The cost of AI automation is driven by how complex the workflow is, how many systems it has to touch, and how reliable it needs to be. This guide breaks down the three common pricing models, what actually moves the number, and why a single fixed price for a defined automation is usually the easiest to budget. No fake figures, just how to think about it.
The three pricing models
Most AI automation work is priced one of three ways, and each carries the risk differently.
- Hourly: flexible but open-ended, and you carry the risk if it runs long
- Monthly retainer: predictable, good for ongoing work and iteration
- Fixed-price project: one number for a defined outcome, easiest to budget
What actually drives the price
Two automations that sound similar can cost very differently. The drivers:
- How many systems it integrates with
- Whether it needs real code or fits a no-code tool
- Reliability and compliance requirements
- How much your data needs cleaning up first
How ResonateOps prices it
One fixed price agreed up front after a free 15-minute call, scoped to a single process, delivered in about three weeks, with a 60-day operational guarantee. No hourly tab and no surprise invoices.
Frequently asked questions
Is there a typical range?
It varies too much by scope to quote blind. The free 15-minute call produces a concrete fixed price for your specific process.
Why fixed price instead of hourly?
It puts the delivery risk on me, not you. You know the number before we start.
Let's talk for 15 minutes about your operation.
A free call. I'll tell you straight which processes today's AI can solve and what your infrastructure needs for them to actually run. If it fits, we move forward. If not, I point you the right way, free.