Fast AI, slow rollback: the risk facing Apple IT teams

There’s a big disconnect between the rate at which IT is deploying various kinds of AI-generated output and the speed with which it can roll those changes back when things go wrong, warns a new report from Fleet Device Management. It’s almost as if the rush to embrace AI has eclipsed the need to manage its deployment effectively. The research, based on a survey of more than 250 enterprise IT practitioners managing Apple devices, is available in full via the company’s website and echoes similar concerns I’ve heard from others in the space. I spoke with Fleet founder and CEO Mike McNeil to get his take on the disconnect. What’s happening in the enterprise First, some of the stats gathered in the survey: 86% of respondents allow AI-written output to reach production devices following some review. 61% used AI to author an MDM profile/configuration in the past month. 62% used it to write scripts/code. 69% can’t roll back a bad configuration within an hour; 43% need more than a day. About a quarter (26%) can recover the same day but only with manual intervention. McNeil stressed the challenge exposed by this data. “When one of those changes is wrong, 69% can’t undo it within an hour, an…

≈