tutoriales · 3 min read
AI in Your SME in 30 Days: Spain's Chamber of Commerce Roadmap
Spain's Chamber of Commerce publishes a 30-day roadmap for SMEs to adopt AI without major investment: the steps, the common mistakes, and how to measure it.
Spain’s Chamber of Commerce, through its Digitalization Commission, published a guide this week aimed specifically at small and medium-sized businesses, laying out a 30-day roadmap for adopting artificial intelligence without major investment or complex projects. At Evicron, an AI and custom software studio based in Barcelona with over 200 projects delivered across 12 sectors since 2019, we recognize the underlying diagnosis: most Spanish SMEs aren’t short on tools. What they lack is a clear starting point and a way to tell whether any of it actually worked.
What the Chamber of Commerce guide says
The document, titled Guide for SMEs: how artificial intelligence can grow your business, opens with a figure that sums up where things stand: according to the Chamber itself, 54.7% of Spanish SMEs already explore or use AI to some degree, while the remaining 45.3% neither use it nor plan to in the near term (Forbes España, El Economista). The barriers it identifies most often are unfamiliarity with the technology, lack of internal training, uncertainty about return on investment, difficulty integrating AI with existing systems, and poor data quality to begin with.
The guide’s approach is deliberately practical: it doesn’t frame AI as a company-wide transformation, but as a series of bounded, measurable, reversible pilots.
The 30-day roadmap, in four steps
Rather than a fixed week-by-week plan, the guide proposes a four-stage sequence any SME can work through in a month:
- Identify two or three candidate processes. Repetitive tasks with enough volume and no sensitive legal implications: customer support, sorting incoming email, first drafts of documents or quotes.
- Design a controlled pilot for one of them, with a limited scope that doesn’t touch critical production systems.
- Test it on real cases, not demo examples, over a short period and with the people who actually run that process day to day.
- Measure the impact before deciding whether to scale it: time saved, errors avoided, or perceived quality, compared against the previous process.
The goal, per the guide, is to get early results, reduce the risk of the investment, and decide whether to scale based on data rather than gut feeling.
The mistakes an SME makes most often getting started
The guide flags several patterns that, from our own experience running AI consulting projects, we recognize in most first conversations with clients:
- Tackling too many processes at once, instead of narrowing down to one until there’s a clear result.
- Rolling out tools without a success metric defined upfront, so nobody can say six months later whether it actually worked.
- Feeding sensitive or customer information into AI apps the company hasn’t authorized — a risk that also carries implications under the EU AI Act.
- Trusting the system’s output with no human review at all, especially in processes that touch customers or financial decisions.
Why half of SMEs get stuck halfway
This figure from the Chamber — just over half already using AI to some degree — lines up with what we’ve already written about why most companies pilot AI but very few scale it: the jump from “someone on the team tried ChatGPT” to “this is part of a process with an owner and a metric” is where almost everyone gets stuck — not for lack of tools, but for lack of a plan with a clear start and end, exactly what this roadmap provides.
How we approach this at Evicron
The logic behind the Chamber’s roadmap — a bounded pilot, testing on real cases, measuring before scaling — is close to what we already do in our AI consulting service: we start with a free discovery session, pick a single process with a clear owner, and define upfront how success will be measured before writing a line of code. When the barrier is the lack of internal training the guide also flags, we pair the project with AI training so the team can maintain and extend what we built without depending on us.
If your SME wants to take the step but isn’t sure which process to start with, get in touch: we reply within 24 hours, and you’ll leave the first conversation with one or two concrete pilots to try, not a generic list of tools.