It used to be easy to spot weak copy because the writing was a bit clunky and the structure was off. AI makes that harder because drafts can read perfectly well and still be wrong.
The problems are no longer spelling mistakes or awkward sentences — they are poor logic and weak sourcing and out-of-date material.
That’s why careful review and editing matters more, not less, when AI is involved.
But there’s a problem. Once something sounds finished, it’s weirdly harder to question the underlying logic of the writing.
Designers learned this years ago. They show wireframes early so decision-makers don’t fixate on colour choices and fonts before the thinking has been tested.
The same principle applies here and arguably matters even more in corporate writing that needs judgement and precision.
Good review now has to go beyond copy-editing (and AI’s don’t make grammar mistakes anyway).
It means asking harder questions:
Is the point we’re making actually true?
Do the claims stack up?
Does the evidence support the emphasis?
Is anything missing?
Has the draft overplayed certainty?
Is the tone right for the audience?
Is this language the organisation is genuinely prepared to stand behind?
They are questions we used to rely on the writer getting right — but when the writer is AI, it’s important to ask them again.
There is another complication. The person who managed the drafting is not always best placed to judge the result. When you steer the AI you spend time inside the text and watch it being written. That familiarity can make weak spots harder to see.
A better workflow usually means a second set of eyes — someone close enough to understand the brief, but distant enough to test the draft properly. At worst, put some time between drafting and review. Hours are good and tomorrow is better, but wait a week and you’ll find even more things you want to rewrite.
Reducing the risk of AI-assisted writing means building a review process that matches the reality of what the tool produces: fluent language, but mixed judgement, and outputs that can look finished before the thinking is done.