Core Insights - The article emphasizes the need for companies to adopt "strange metrics" to drive innovation and strategic decision-making in the AI era, moving away from traditional management approaches [2][7] - Corti, a medical AI infrastructure company, utilizes communication analysis to understand internal dynamics and customer interactions, which helps in identifying areas of disengagement and communication slowdowns [3][4] Group 1: Strategic Decision-Making - Corti has raised €100 million with a vision to make healthcare more accessible, and the analysis of communication metrics revealed a disconnect in application support post-COVID-19 [4] - The CEO, Andreas Cleve, leverages these insights to pivot the company's strategy towards providing AI infrastructure for medical applications, which has led to challenging discussions with investors [4] Group 2: Balancing Metrics - The article discusses the challenge of balancing short-term metrics with long-term vision, particularly for publicly traded companies that face pressure for immediate results [5] - Cleve mitigates the risk of losing sight of long-term goals through informal and formal board meetings, ensuring that the eight-week themes align with the company's overarching vision [5] Group 3: Importance of Communication - Monitoring communication processes is highlighted as a crucial method for organizations to measure progress, as traditional financial metrics do not capture real-time dynamics that drive innovation and customer success [5][6] - The challenge lies in creating a framework that incorporates both forward-looking and retrospective metrics to inform strategic decisions, especially as AI continues to reshape business operations [6]