1Marcus uses an AI assistant to draft routine emails.
2He still reads every message before pressing send.
3The tool often suggests a tone that sounds too formal.
4So he rewrites the opening line in his own words.
5His colleague Dana transcribes meetings automatically.
6The software produces a summary within minutes.
7It occasionally confuses speakers with similar voices.
8Dana corrects the names before sharing the notes.
9Their team tested an AI tool for sorting support tickets.
10It handles simple questions faster than any person.
11Complaints, however, still go straight to a human.
12Customers notice when a reply feels cold or generic.
13Marcus worries that some colleagues rely on it blindly.
14Last month, a generated report contained two invented figures.
15Nobody caught the error until the client asked.
16Since then, every AI draft requires a second reader.
17Dana compares the tools to a very fast intern.
18Useful for first attempts, but never the final word.
19Their manager now offers training on checking AI output.
20The goal is to save time without surrendering judgment.