Are AI Agents Actually Ready to Do Real Work?
We have spent the last few years teaching AI how to answer questions.
Now the conversation is shifting toward something much more interesting
What if AI could actually complete the workflow?
Instead of:
Write me an email.
You could have a system that
Finds the relevant information → decides what needs to be done → drafts the email → checks it against your rules → updates the right system → asks for approval when necessary → moves to the next task.
That sounds powerful.
But building something like this reliably is much harder than connecting a few AI tools.
A useful agent needs more than intelligence.
It needs context, access to the right information, clear instructions, memory, tool permissions, error handling, verification, and boundaries around what it is allowed to do.
And that raises an important question:
Where should we actually trust AI to act autonomously and where should a human still be in the loop?
For example:
🟢 Low-risk: research, organizing information, summarizing, drafting
🟡 Medium-risk: updating databases, sending internal messages, making recommendations
🔴 High-risk: financial decisions, deleting important data, sending sensitive information, making decisions that directly affect customers
The goal probably isn't to create an AI that does everything.
It’s to design a system where AI handles the right parts of a workflow while humans remain responsible for the decisions that actually matter.
So I’d love to brainstorm with the group
What is ONE real workflow in your work or business that you would trust an AI agent to handle from start to finish?
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11 comments
Mitanní Spruill-LeSueur
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Are AI Agents Actually Ready to Do Real Work?
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