Quick answer: Teams can use AI effectively by treating 'how should we use AI' as a different question per function rather than one blanket policy — for example, marketing teams generating campaign variations at volume needs a different AI approach than an engineering or support team automating repetitive tickets.
"How should our team use AI" is really four different questions depending on the role. Here's what that looks like broken out by function.
Generating campaign variations at volume - different formats, aspect ratios, and copy angles from the same core creative - instead of manually resizing and rewriting each asset by hand.
Rapid concept exploration before committing production time - generating a range of visual directions from a brief, then taking the strongest one into detailed manual work.
Drafting first-pass responses to common questions, summarizing long threads, and surfacing the right internal doc, so a human reviews and sends rather than writing from a blank page every time.
The role isn't using the tools directly as much as setting where a human review step stays mandatory - anything customer-facing, financial, or public gets checked before it ships, regardless of how the draft was produced.