Artificial intelligence in business: where to start in 2026
Where AI really saves an SME time, how to start with a pilot project and what the AI Act has required since 2 August 2026 from anyone using chatbots and generated content.
The safest way to bring artificial intelligence into your company is to start from one specific process that wastes time today, such as reading documents, sorting emails or searching for information, and test AI there with a pilot lasting a few weeks. You do not need a big upfront investment: you need the right problem, data in good order and a way to measure the result.
Companies are moving fast. According to Eurostat, 20% of EU enterprises with at least 10 employees used AI in 2025; in Italy, Istat reports 16.4%, double the previous year. The gap between small and large companies is wide, however: among Italian SMEs the share is around 16%, among large companies it is over 50%. And among firms that considered AI and then gave up, the most common reason was a lack of skills. Let’s see where AI pays off, how to start and what European law requires.
Where does AI save an SME time?
The best results almost always come from repetitive tasks with lots of text and fairly clear rules:
- Reading documents: extracting data from invoices, delivery notes, orders and contracts and loading it into your business software without retyping.
- Emails and requests: classifying incoming messages, routing them to the right person and drafting a reply.
- Website assistant: answering customers at any hour using only your company’s content, and handing over to a person when needed.
- Internal search: finding procedures, data sheets and past answers in seconds instead of asking colleagues.
- Summaries and reports: digests of meetings, tickets and sales data for decision makers.
- Forecasts: estimating stock, demand and delivery times from historical data.
How to start: a pilot project in 5 steps
- Pick a process that really matters, with a clear volume (for example 300 invoices a month) and a person who handles it today.
- Measure the starting point: time spent, errors, delays. Without these numbers you will not know whether AI worked.
- Prepare the data: documents, archives and rules must be accessible and up to date. This is often where the real work is.
- Test for 4–8 weeks on a limited scope, with a person checking results before they become final.
- Decide with numbers: if the time saved justifies the cost, extend it and connect it to existing systems; otherwise adjust or pick another process.
What makes the difference is integration: an AI isolated in a chat window helps one person, while one connected to your business software, CRM and email through API integrations works inside the processes of the whole company.
What does the AI Act require from companies?
The EU regulation on artificial intelligence (AI Act) applies in stages. These are the dates that matter for an SME:
| From | What applies |
|---|---|
| 2 February 2025 | Ban on prohibited practices and the duty to train staff who use AI systems (AI literacy) |
| 2 August 2026 | Transparency obligations: people must know when they are talking to a chatbot, and deepfakes and some AI-generated content must be disclosed |
| 2 December 2026 | Deadline for marking content generated by systems already on the market before August 2026 |
| 2 December 2027 | Obligations for high-risk systems (for example recruitment and credit scoring), postponed by the Digital Omnibus package |
In practice: if you have a virtual assistant on your website, it must be clear that it is an AI; if you publish generated images or text, you need to know when to disclose it; and staff who use these tools must have received adequate training. For most SMEs the heaviest obligations, those on high-risk systems, do not apply before late 2027, but the postponement does not cover transparency and training.
Data and privacy: questions to ask before choosing a tool
- Where is the data processed and stored? Servers in the European Union are preferable.
- Does the provider use your data to train its models? Business plans usually let you opt out, and it should be in the contract.
- Who can see what? AI answers must respect the same permissions as your business software.
- Is there a log of what was asked and answered, so you can check and correct?
The most common mistakes
- Starting from the tool instead of the problem: “let’s use AI” is not a goal.
- Giving full autonomy too soon: at first a person must check, especially on customers, prices and documents.
- Forgetting the data: an AI connected to outdated information gives outdated answers, very confidently.
- Not measuring: without before-and-after numbers you cannot tell whether you are saving or just spending.
In short
Artificial intelligence pays off when it solves a concrete, measurable problem: reading documents, sorting requests, finding information, supporting customers. Start with a pilot of a few weeks, measure, then integrate with existing systems while meeting the AI Act’s transparency and training obligations. See how we work on applied AI and process automation. If you also want to be found in AI answers, read our article on SEO and GEO.
Is there a process you would like to lighten? Tell us about it in an introductory call with PragaWeb: we will tell you whether AI is the right answer and how to test it safely.
