AI adoption beyond the hype: a practical checklist for mid-sized enterprises

For a mid-sized business, the AI question is rarely about building models. It is about choosing where automation and assistance can remove cost or add revenue — and doing it without creating new risk.

Start with a process, not a platform

The strongest early use cases are repetitive, document-heavy and measurable: customer service triage, invoice processing, sales proposal drafting, quality inspection. If you cannot measure the before, you cannot prove the after.

Skills are the real bottleneck

Tools are increasingly accessible. People who understand both the business process and the technology are not. Investing in a small internal team often pays back faster than another software licence.

“Technology and AI should be used with appropriate human and editorial oversight — in a newsroom and in a business.”