How much does SME process automation cost?

Why the price of automating varies so much

When an SME asks 'how much does automating cost', the honest answer is always 'it depends' — but it depends on concrete, measurable factors, not a magic formula. Connecting two tools that already have a public API is not the same as integrating an old ERP with no programmatic way to access it. This guide breaks down the real factors that push a budget up or down, with indicative ranges so you can get your bearings before requesting any proposal.

If you want a figure tailored to your specific case, the most efficient starting point is a free 2-hour diagnostic: in that session your current processes and systems are reviewed and you're given a realistic, non-generic estimate.

The four factors that determine the price

• —Number of systems to connect: each additional system (invoicing, CRM, bank, warehouse) adds complexity and possible points of failure.
• —Whether an API exists: if the systems already expose a documented API, integration is much faster than if you need to automate a web interface or manually import/export files.
• —Data volume: processing dozens of invoices a month is not the same as processing thousands; volume affects the design, validations and required infrastructure.
• —Process criticality: a process that, if it fails, stops invoicing or directly affects customers needs more testing, error handling and monitoring than a low-risk internal process.

Project types and indicative ranges

The table below shows common types of automation projects for SMEs. The ranges are indicative: the final price always depends on the four factors above and should be confirmed with a specific proposal.

Recurring costs that are often overlooked

The price of initial development isn't the only cost. An automation project usually comes with recurring costs that need to be planned for from the outset to avoid surprises:

• —Licences for the connected tools (CRM, invoicing, automation), which often carry a monthly cost per user or per volume.
• —AI model usage when the automation relies on language processing or text/image generation: cost grows with the volume of requests.
• —Technical maintenance: monitoring, adjustments when an external tool changes its API, and incident resolution. At AurIA42 we offer this from €79/month.
• —Infrastructure (servers, storage, backups) if the project doesn't rely solely on managed third-party tools.

How to calculate the return using your own hours

The most reliable return calculation doesn't come from a generic percentage, but from your own data. The method is simple: measure, over one or two weeks, how many hours each person spends on a specific process and multiply that by their hourly cost (gross annual salary plus social security costs, divided by hours worked per year).

With this monthly or annual figure for hours spent, compare it against the development budget plus recurring maintenance. If the time saved covers the cost within a reasonable timeframe for your business — often a matter of months, not years — the project makes economic sense. If the process has low volume or low frequency, it might not be worth automating yet, even if it's technically possible.

This is the logic we apply when working with SMEs via our process automation for SMEs page: we don't propose automating for its own sake, but where the hours calculation justifies it.

What makes a budget balloon unnecessarily

• —Trying to automate a process that isn't well defined yet: every change of criteria during development creates rework.
• —Requiring integrations with systems that have no documented API, forcing more fragile and costly-to-maintain solutions.
• —Mixing 'just in case' features into the same budget that won't be used in the short term.
• —Not defining a clear pilot scope and adding requirements as the project progresses.
• —Choosing a solution with total dependency on a single vendor with no ability to adapt it later, which makes any future change more expensive.

How to get a reliable quote for your case

A reliable quote needs, as a minimum, an inventory of the systems involved, whether they have an API, an approximate data volume and the process's criticality level. With this information you can move from a generic indicative range to a specific figure and a realistic timeframe.

The free 2-hour diagnostic we offer at AurIA42 is designed exactly for this: gathering this information and giving you back a tailored proposal, with no obligation to continue.