AI in business: where should an SMB start?
Profitable use cases, mistakes to avoid, team training: a pragmatic method for bringing AI into an SMB without putting your data at risk.
AI is no longer just for large corporations
Drafting emails and reports, summarising documents, preparing quotes, customer support: generative AI assistants save several hours per employee per week — with no heavy IT project. The real question is no longer 'should we?' but 'where do we start, and with what safeguards?'.
Start with use cases, not tools
The classic mistake is buying licences and then looking for something to do with them. The right method reverses the approach: identify two or three time-consuming, repetitive tasks in each department, measure the time they consume, then pick the right tool — Microsoft Copilot if you live in M365, Gemini on Google Workspace, or a custom assistant for specialised business needs.
Protect your data from day one
Without a framework, your employees are already using AI — with free personal accounts, sending your data to servers you don't control. A clear usage charter, business accounts with contractual guarantees (no training on your data) and a few simple rules are enough to turn that risk into an advantage.
Train, measure, scale
Half a day of hands-on training per team changes everything: usage becomes concrete, verification reflexes take hold, and gains become measurable. Start with a pilot group, measure the time saved for a month, then scale what works. That is exactly the method we apply in our AI adoption programmes.