How much does AI automation cost for an SMB?
How much does AI automation cost? Ask ten providers and you will get ten evasive answers. It depends, it is custom work, let us talk about your needs first. All true, but none of it helps you build a budget. Pricing in this market is opaque, and that opacity rarely benefits the client. Here are the ranges we actually see on real small business projects, what makes them vary, and how to check that the investment holds up.
The three components of the price
A complete automation budget always breaks down into three separate lines:
- The project: designing and deploying the automation. This is the upfront investment. We charge it as a fixed price: a set amount, known and agreed before work starts, with no surprises at the end.
- Running costs: AI API calls and subscriptions to the tools the system uses. For most SMB use cases, this comes to a few dozen euros per month.
- Maintenance: monitoring the system and evolving it over time. Either an optional monthly plan, or taken over in-house by your team. More on this below.
A quote that only shows the first line is incomplete. A quote that blends all three without detail deserves questions.
Honest ranges by type of project
Here are the orders of magnitude we see, from simplest to most ambitious:
- Simple automation, no AI: a form feeding the CRM, automatic follow-ups, a sync between two tools. From 1,500 €. Running costs are often limited to the tool subscriptions you already pay.
- Automation with AI: invoice reading and accounting entry, email triage with drafted replies, data extraction from documents. From 2,500 to 5,000 € depending on scope. This is the most common category for a first project.
- Full multi-tool agent: a system that reads, decides, acts across several tools and routes sensitive cases to human validation. From 4,000 to 10,000 € depending on the number of tools and the level of control required.
Two honest caveats. First, these are observed orders of magnitude, not a price list: every project is quoted as a fixed price after an assessment, because no two invoice automations ever have exactly the same scope. Second, these amounts cover systems put into production and tested on your real cases, with a pilot deployed in 2 to 4 weeks, not a demo.
What makes the price vary
For the same type of project, four factors explain most of the differences:
- The number of tools to connect. Linking an inbox to a CRM is quick. Adding invoicing, the calendar and an industry-specific tool multiplies the integrations to build, test and harden.
- The quality of the input data. Well-structured digital invoices read almost perfectly. Scans of variable quality or photos of delivery notes require real reliability work.
- The edge cases to handle. A process that is 95 percent regular automates well. If one order in three is an exception with its own rule, the design gets more complex and the price follows.
- Validation and traceability requirements. A human validation step before anything goes out, a full history of the system's decisions: these safeguards are often essential, but they add to the scope.
That is why a serious quote requires an assessment first: none of these four factors can be guessed from a pricing page.
Maintenance: us or you
An automation in production is a living thing: a tool changes its API, your processes evolve, an unexpected case shows up. There are two ways to handle that reality, and both are legitimate:
- A maintenance plan. We monitor the system, fix what breaks, evolve it with your needs and track API costs to prevent drift. For a first system, expect 100 to 200 € per month.
- Taking it in-house. The system is documented and your team is trained during deployment, not after. You keep control, with no subscription. A serious option if someone on your team is comfortable with the tools.
Be wary of offers where maintenance is mandatory and vague: that is often where the real margin hides.
How to check it will pay off
A price means nothing on its own: it has to be compared with what the automation brings in every month. The full method, with the formula and a worked example, is in our article on calculating the ROI of an automation. The principle fits in one line: break-even point = project cost divided by net monthly gain. Under 12 months, the project is solid.
To give a sense of scale, the example in that article covers a 3,500 € project with about 150 € per month in running costs (API and maintenance): 5 hours saved per week are enough to pay it back in 7 months. Our case studies show other numbers from real projects.
If a provider, ourselves included, cannot run that calculation with you before you sign, treat it as a signal.
The takeaway
A simple automation starts at 1,500 €. An AI project most often lands between 2,500 and 5,000 €, a full agent between 4,000 and 10,000 €. Add a few dozen euros of running costs per month, then maintenance at 100 to 200 € per month or taken over by your team. Above all: insist on a fixed price known before work starts, and a profitability calculation set out in black and white.
That is exactly what the free 30-minute assessment delivers: your processes, your volumes, and a precise quote before any commitment. See how our method works.