Self-optimization is the autonomous refinement of a system’s processes or components against clearly defined key performance indicators. The system observes outcomes, uses feedback, reflection, and memory, then adjusts its prompts and models to improve performance over time. section 9.4.3
Within an autonomous enterprise, self-optimization turns operational learning into a continuous loop rather than a one-time redesign. It can stabilize effective patterns while leaving room for further improvement, but the treatment does not specify implementation details or safeguards for automated changes. section 9.4.3
Sales call scripts
A sales agent compares script outcomes and identifies core elements that work for most customers, reusing those elements across future scripts. section 9.4.3
