
Who gains time with AI — and who just seems to
A professional gains 14% productivity with AI. But that gain rarely translates into company results. Here's why, and how to change it.
Adriano Fante
Skyller Blog
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A professional gains 14% productivity with AI. But that gain rarely translates into company results. Here's why, and how to change it.
Adriano Fante

Machine identities already outnumber people at most companies, and most carry more access than they need. Here's what changes with a credential per tool.
Eduardo Braga

When two AI automations act on the same process, the outcome depends on which one ran first. Here is what actually decides who has the final say.
Helber Victor

A tribunal ruling and a public reversal carry the same warning: what AI tells a customer is the company's word. Here's what avoiding both cases requires.
Paulo Brito

ISO 9001, 27001 and 42001 have required a document owner, current version and review date for decades. Few companies apply that to what now feeds AI answers.
Eduardo Braga

Outdated documents in the AI knowledge base don't trigger warnings—they trigger confident, wrong answers. See how it happens and how to prevent it.
Camila Rocha

A survey of more than 1,500 studies shows how the same request, worded two different ways, changes both the quality of an AI's answer and the cost.
Adriano Fante

Stanford researchers found that AI makes more mistakes when the right answer sits in the middle of a long text. The problem is the material, not the question.
Written by SkyllerIA