AI, data and digital for SMEs.
Without the hype.
Every article answers a question that business owners and managers actually ask: what to automate, what it costs, what to expect. With examples from real companies and numbers where they exist.
Artificial intelligence for SMEs: 7 concrete uses (with real costs)
From automatic replies to quote requests to quality control with a camera: the seven use cases that really work in a company of 10-100 people, with ballpark costs and timelines.
12 September 2026 · 9 min AI in businessAutomating business processes with AI: where to start
How to choose the first process to automate, the three most common mistakes and what we learned replacing our clients' Excel sheets.
12 September 2026 · 7 min Data strategyData strategy for SMEs: from Excel to decisions
Why data scattered across spreadsheets never becomes decisions, and four steps to build a data foundation the company actually uses.
12 September 2026 · 8 min AI in businessHow much does an AI project cost (and what makes it fail)
Realistic price ranges by project type, what drives the cost and the five causes of failure we see most often.
12 September 2026 · 7 min Digital for SMEs · IncentivesItaly's Transition 5.0 and incentives for AI and digital: a 2026 guide
What Italian incentives exist for software, AI and digitalisation, who can access them and how to set up a project so it qualifies.
12 September 2026 · 7 min Digital for SMEs · NaplesIT consulting in Naples: how to choose a technology partner
The questions to ask before signing, the warning signs and what a serious quote should include.
12 September 2026 · 6 min Resource · GlossaryAI and data glossary for business: 53 terms explained simply
LLM, RAG, AI agent, machine learning, data warehouse, ETL, KPI, API, ERP, GDPR, AI Act: the terms decision-makers need, in a few lines each with a business example. With quick search.
Updated 12 September 2026Have a process you'd like to automate, or data you can't put to use?
Let's talk in a free 30-minute consultation: we'll tell you what makes sense, what doesn't, and what it costs.
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