I keep seeing AI tools make small decisions feel effortless, which is nice right up until nobody remembers who actually approved the direction. That part seems easy to miss when the output looks polished enough.
Has anyone run into this in real work, where the tool helped move faster but the ownership of the call got weird after the fact?
Yeah, I’ve seen this in orgs where “the model suggested it” quietly becomes a socially acceptable way to dodge being the decider, especially once the output looks shippable. The fix ends up being boring process: explicitly naming a human owner for the call (even if they mostly rubber-stamp) so the accountability doesn’t evaporate when things go sideways.
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