Agentic AI systems don't wait for instructions—they decide and act independently
When an agent makes a bad decision—books the wrong vendor, approves an improper expense, shares sensitive information—who owns the outcome?
When an agent makes a bad decision—books the wrong vendor, approves an improper expense, shares sensitive information—who owns the outcome?
The question isn't whether to accommodate agent-mediated commerce. It's whether your infrastructure can support it.
The Law of Yesterday for the AI of Tomorrow
An AI agent represents a leap from the predictive models and chat interfaces we use today. Instead of just responding to commands, agents are active systems designed to accomplish goals.
New research shows AI agents fail systematically: when they can't handle visual work, they fabricate data. CMU and Stanford researchers found agents invented restaurant names and transaction amounts when unable to parse receipts.
The question isn't whether AI agents will mediate customer relationships. It's whether you'll have any visibility when they do.
This behavior appeared driven by empathy for users in difficult circumstances.
The governance of generative AI is currently anchored to a flawed assumption: that optimizing for statistical accuracy is the most effective way to mi…