Autonomic business can encompass a range of outcomes, from simple forms of task or process automation supported by IT to autonomous AI agents orchestrating and executing tasks. Given the scale and diversity of organizations, there is bound to be an uneven application of AI and agentic technologies within an organization, making it challenging to measure and understand the level of maturity regarding the application of AI as a whole. This chapter focuses on measuring and scaling an autonomic business, laying out the entire spectrum of approaches to automating tasks, processes, decisions, and business goals from limited IT support in each of these areas to full autonomy. We also examine the limits of this approach and how the impacts on productivity may provide the business case for scaling AI technologies further to achieve higher levels of autonomy in systems.