Many organizations draw a top-down (hierarchical) org chart, but we know that this is not really the way that information flows through organizations. Instead decisions are made on a much richer interaction topology. For instance, the president of the company might consult with the sales manager before making a decision because they went to college together. But how do we discover this network of interaction? Understanding how decisions are made within an organization can help those same organizations to become more robust. Using social network analysis in combination with agent-based modeling we can not only create models of specific organizations to understand how decision-making occurs within these systems, but we can expand beyond particular organizations to understand more generally how to facilitate cross-silo communication and rapid but accurate decision-making in large organizations.