AI in Automation, Strategy, and Product
Chasing full autonomy for AI Agents is wrong.
They need to be the scaffolding human expertise.
Early in my AI agents work, I built agents designed for 100% automation. They looked great in demos, but adoption collapsed. Why? A system that's "almost perfect" is still risky. Nobody wants to explain an AI sending a bad email to a top client.
What actually works is the 80% agent: smart enough to handle the heavy lifting, but designed to pause and hand control back. One client now has an agent that generates reports and drafts the email, but leaves it for the user to send. It saves 95% of the effort while keeping trust intact.
The real value isn't in automating whole jobs. It's in removing friction and handling the prep work humans hate. Pulling CSVs from three systems. Categorizing customer feedback. Drafting sales notes. These "small" tasks transform workflows because they let people focus on the part of the job that actually matters.
The future isn't AI replacing people. It's AI scaffolding that makes people faster, sharper, and more effective.
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