Decision models: Making AI decisions auditable before deployment
Show me the decision logic. Not a vague explanation. An actual specification.
When autonomous AI creates liability, you can't explain
The WEF and Capgemini framework tackles how to deploy AI agents that act independently without creating liability exposure you can't defend. When autonomous agents execute without human approval, your organization owns the outcome directly.
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?
Your Next Customer Might Be an AI Agent. Will You Let Them In?
The question isn't whether to accommodate agent-mediated commerce. It's whether your infrastructure can support it.
The AI Act Is Here. But It Wasn't Built for the AI That's Coming
The Law of Yesterday for the AI of Tomorrow
A Beginner's Guide to Understanding AI Agents
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.
Agent programmability defines the boundary between augmentation and risk
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.
Your Brand is Becoming Invisible: What the Amazon-Perplexity Lawsuit Reveals About Agentic AI
The question isn't whether AI agents will mediate customer relationships. It's whether you'll have any visibility when they do.
