Where to start with AI in your business

Most AI projects fail not because of the technology, but because they start from the tool rather than the problem. The right question is not "which model should we use?" but "which process is costing us time or money today?".

Start by mapping your repetitive, low-value tasks: data entry, email triage, report generation, answering frequent questions. These are your first candidates.

Then prioritize by value and feasibility. A good first project is small, measurable and low-risk — a proof of concept that demonstrates value in weeks, not quarters.

Finally, measure. Set a simple metric before you start (time saved, errors avoided) and compare afterwards. That is what turns an experiment into an informed investment decision.