15 July 2026

AI for small businesses in Anoia and Igualada: where to start

There are more than 3,000 businesses in Anoia, and the vast majority are not tech companies: they are workshops, shops, accountancy firms, paper and metal manufacturers, service companies. If you run a business like that, you have probably heard a thousand times that "AI will change everything" — while you are still keying in delivery notes at eight in the evening.

This article is the opposite of hype: a short, realistic guide to where AI starts in a small local business, what it really saves and which mistakes are better not learned the hard way.

Start with what steals your time, not with the technology

The most common mistake is to start by asking "which AI tool should I use?". The right question is a different one: which repetitive job eats the most hours of your team every week? In the Anoia businesses I know, it is almost always one of these three: typing invoices and delivery notes by hand, answering the same queries over and over, and following up on quotes already sent.

Once you have the answer, the technology follows. And often you do not need to replace any of the software you already use: the AI connects to what you have.

Three local examples (realistic ones, not PowerPoint ones)

A workshop in the Òdena basin that receives 100 supplier invoices a month can go from six hours of data entry to less than one: the system reads each PDF, extracts the data and drops it into the accounting software. The administrator only reviews.

A shop in the centre of Igualada that gets WhatsApp queries at all hours can have an assistant that answers the usual questions instantly — opening hours, stock, orders — and alerts the owner only when a person is needed.

An accountancy firm in Vilanova del Camí can let clients' documents enter the system on their own and spend the freed-up hours on what actually bills: advising.

The two mistakes I see most often

The first: using free AI tools and putting customer data into them. Free versions usually use what you type to train their models — and your clients' tax data should not be travelling there. It is a GDPR problem that can be avoided by choosing tools carefully from day one.

The second: signing up for a generic course, coming out motivated… and two months later everything is the same. Training is useful when it is tied to a concrete implementation in your business — first the solution is built, then the team is taught how to get the most out of it. In that order.

What you can expect (and what you cannot)

What you can expect: hours back every week, faster replies to customers, fewer typing errors and the peace of mind of complying with the rules. What you cannot: magic. Well-applied AI is like a good new employee — it needs a few weeks to settle in, and someone to tell it how things are done in your house.

The good news for businesses around here: nothing I describe requires going to look for big suppliers in Barcelona. These are small projects that can start with what you already have and grow as they prove they work.