{"id":27670,"date":"2026-09-23T17:40:38","date_gmt":"2026-09-23T15:40:38","guid":{"rendered":"https:\/\/kauz.ai\/?p=27670"},"modified":"2026-09-24T14:36:58","modified_gmt":"2026-09-24T12:36:58","slug":"which-microsoft-copilot-do-you-actually-mean","status":"publish","type":"post","link":"https:\/\/kauz.ai\/en\/blog\/which-microsoft-copilot-do-you-actually-mean\/","title":{"rendered":"Which Microsoft Copilot Do You Actually Mean?"},"content":{"rendered":"

<\/p>\n
\n


Variants, limitations and the question of when a cross-system AI workplace makes sense
<\/em><\/p>\n

\u00a0<\/div>\n<\/div>\n

<\/p>\n

\n<\/div>

<\/span><\/span><\/span><\/span><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/section>
<\/p>\n
\n

\u201cBut we already have Copilot.\u201d<\/strong> This is what many companies say as soon as AI in everyday work comes up. Microsoft is in place, Copilot comes with it \u2013 so the need for enterprise AI must be covered.<\/p>\n

It is not quite that simple, though. This article explains which Copilot offerings are relevant for companies, how they differ in terms of features, data protection and costs, and when a cross-system AI solution can make sense.<\/p>\n<\/div>\n