AI automation is most valuable when it removes a repetitive task that someone is already doing manually every day. It is least valuable when it tries to replace judgment that genuinely requires human context.
The high-ROI use cases are predictable: extracting data from invoices and receipts, drafting routine email replies, summarizing long documents, classifying customer messages, and generating first-draft reports from structured data.
The low-ROI use cases are equally predictable: anything requiring deep client knowledge, negotiation, or final approval. Automating those tends to create new review work rather than saving time.
Start small. Pick one task that consumes more than an hour a day across the team, automate it, measure the result, then move to the next. That discipline is what turns AI from a demo into operational leverage.