When the precedent hasn’t been set yet, we get to write it
Most teams building agentic AI are trying to make LLMs do something they're fundamentally bad at: making consistent, defensible business decisions. Decision platforms were built for this exact problem - and most teams don't know they exist.
At its core, AI red teaming is a multidisciplinary, creative, and interactive process of investigation
Headlines proclaim that AI will change everything overnight—jobs, society, the whole works. The technology is powerful, no question. But some experts want us to slow down and look past the hype.
The A2A protocol is a standard for collaboration, authentication, and communication between independent AI agents.
Show me the decision logic. Not a vague explanation. An actual specification.
As Artificial Intelligence (AI) becomes more integrated into our daily lives, from recommending movies to assisting in medical diagnoses, we need to have a similar, yet much deeper, level of trust in these complex systems.
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.
When an agent makes a bad decision—books the wrong vendor, approves an improper expense, shares sensitive information—who owns the outcome?
