This article introduces the Eternal Alex Coefficient (EAC), a formula that tracks how often an employee’s past contributions influence current decisions after they have left the company. It highlights the risks of relying on long-gone employees for guidance, emphasizing the need for better organizational memory practices.

This article explains the importance of context graphs in enhancing AI performance within enterprises. It highlights how context graphs capture the nuances of workflows and decision-making processes, enabling AI agents to operate more effectively by understanding organizational memory. The piece emphasizes that traditional systems fail to provide this context, making context graphs essential for successful AI deployment.