Apple @ Work: The numbers on AI trust for IT are not great, and one company is trying to fix it

MacPaw’s new Leebry platform highlights a core enterprise AI problem: most companies are deploying AI before cleaning up the knowledge sources those systems rely on, creating accuracy, compliance, and trust risks for IT. For CIOs, the strategic implication is that AI value will depend less on model capability and more on governance—permission-aware access, source traceability, stale-content detection, and controlled automation of repetitive service desk and onboarding/offboarding tasks. The article suggests IT organizations that treat AI as an operational layer over trusted internal systems can reduce Level 1 tickets and manual admin work without sacrificing oversight.