From AI Experiments to Operating System: Three Practices That Turn Scattered Usage into Compounding Value

Most companies have AI governance and tooling in place but lack a practical operating model for how teams actually share and build on each other's AI work. This talk introduces three lightweight practices any organization can adopt immediately: a regular showcase for demoing working AI experiments, a shared library for storing reusable prompts, workflows, and automations, and clear ownership to keep everything maintained. Together, they form a simple loop — build, show, store, improve — that turns scattered AI conversations into a visible, compounding body of reusable value.