(A dramatized account based on common use cases seen in office and administrative work

For Maya Patel, being a project coordinator at a mid-sized marketing agency used to mean drowning in spreadsheets, chasing down meeting invites, and copy-pasting status updates across half a dozen platforms.

“It wasn’t glamorous,” she said. “It was digital janitorial work, basically.”

Then her company adopted Claude AI and other AI assistants to help with routine admin tasks. Maya didn’t expect much—maybe a few saved clicks. But within a few weeks, her entire workday had changed.

Instead of manually drafting weekly reports, Maya began feeding Claude bullet points and Slack threads. The AI generated polished summaries tailored to different departments—client-friendly for account teams, detail-heavy for ops.

“It’s like having a full-time report writer,” Maya said. “And it doesn’t complain about formatting.”

Scheduling also got smarter. Using voice-to-text commands, she could ask the AI to find time across five calendars, reschedule meetings with logic (“avoid Monday mornings,” “never back-to-back”), and draft polite reschedule emails.

“It’s not just about saving time,” she noted. “It’s about protecting brain space for the parts of my job that actually need me.”

Still, there were hiccups. Occasionally, the assistant would mix up names or suggest outdated info from older documents. And Maya worried about over-automation. “I don’t want to become someone who just pushes buttons and nods at the output.”

The team decided on a hybrid model: AI does the grunt work, but a human always reviews before sending anything out.

Now, Maya’s role is evolving. She’s no longer the go-to person for calendar Tetris—but she’s leading more creative planning sessions and even training new hires on AI workflows.

“We used to say the robots were coming for our jobs,” she laughed. “Turns out, they’re just doing the chores so we can do the actual work.”

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