the bbb read more than 100,000 complaints and reviews filed since 2023. over 90 percent of the reviews that mention ai customer service describe a bad experience.

that is not a sample of opinion, it is a hundred thousand people who took the time to file, and the pattern in it is consistent enough to plan around. the condition is a containment design rather than a model problem: deflection rate is the number the vendor sells against, so every handoff to a person scores as a failure and the exit gets buried on purpose. the cost lands on exactly the customers you can least afford to lose, because the ones who escalate are the ones with money at stake or a problem worth fixing, and they leave with a screenshot and a review.

the fake fix is a better bot, more training data, a warmer script, which makes the trap more comfortable without making it shorter.

do the version that holds: put a visible route to a human on every step, cap the loop at two failed attempts before it hands off with the full transcript attached, and change the number your team watches from containment rate to resolved on first contact. then call ten customers who used it last month and ask what happened, because the vendor dashboard is not going to volunteer it.