Every week I talk to business owners who spent $10k-50k on AI projects that went nowhere. Same pattern every time:

The mistake: They hired a dev shop to "add AI" without understanding what problem they were actually solving. They got a chatbot nobody uses, or a dashboard that tells them what they already know.

What actually works:

1. Start with the bottleneck. Where does your team spend the most time on repetitive work? That's your first AI project — not a chatbot on your homepage.

1. Build for one workflow, not "AI transformation." A voice agent that handles 80% of inbound calls. An automation that processes invoices in seconds. Specific > vague.

1. Ship in weeks, not months. If someone tells you AI takes 6 months to deploy, they're either overcomplicating it or padding the timeline. We deploy production systems in 2-4 weeks.

1. Measure in dollars saved, not "AI metrics." Hours reclaimed × hourly cost = ROI. Everything else is noise.

We've deployed voice agents handling real calls in 3 languages, built sales platforms that replaced entire spreadsheet workflows, and put AI infrastructure on-premise for enterprises that can't touch the cloud.

If you're running an SME and thinking about AI — start small, start specific, and measure everything.