What if you could see how work in your company really happens?

Are you managing your team based on facts or just "monthly averages"? It’s time to look at the real data behind #ProcessIntelligence, #WorkforceOptimization, and #OperationsManagement. In this episode of The AI Automation Dojo, Andrzej Kinastowski discusses why official company flowcharts and PowerPoints rarely match the reality of daily work. While management often relies on averages to distribute tasks, the raw data usually reveals a different story: some teams are overwhelmed with 12-hour workdays while others have hidden capacity.We explore how large organizations can use task mining to identify the real causes of low productivity. Instead of blaming "slow employees," we look at structural issues like system lag, too many meetings, and the "tool fragmentation" where people have to jump between dozens of different applications just to complete one process. This conversation is a guide for operations leaders and GBS/SSC managers who want to use data to balance workloads, improve employee morale, and make better decisions about automation and team size.What you will learn from this episode: 🔸 Why "monthly averages" hide the real bottlenecks in your operations 🔸 How to identify the "quiet heroes" – high-performing employees who are often overlooked 🔸 The impact of "tool fragmentation" (e.g., using 6 different SAP instances simultaneously) 🔸 Case Study: How Vesuvius used data to prove 12-hour shifts during month-end and redesigned their process 🔸 How to reduce team size through natural attrition and better workload balancing🔸 Why system performance, not employee speed, is usually the reason for delays