AI is revolutionizing information flow in big companies by providing equal access to critical data for all teams, regardless of their rank. This shift eliminates traditional information silos and unnecessary meetings, reducing costs and improving decision quality. AI-powered tools, such as large language models, are breaking down information silos by connecting disparate data sources, giving everyone a level playing field to make informed decisions without manual research. By standardizing information access, AI builds an environment where solid data drives decisions, rather than authority or the loudest voice. This democratization of information access is creating a new paradigm where data, not hierarchy, drives decision-making, leading to improved organizational agility and reduced costs. The financial implications are substantial, with companies investing in redundant systems and processes simply to manage the inefficiencies created by fragmented information channels. As businesses increasingly build AI for their decision-making and operational processes, the difference between success and struggle often comes down to having robust tools that facilitate monitoring the AI development process.