Many businesses experience the same AI lifecycle revolving around mistakes, where clever experiments can become critical tools or compliance nightmares, and many workflows head to the "AI graveyard." Zapier shares six mistakes teams make when scaling AI adoption. First, letting AI live in individual toolkits instead of shared workflows leads to duplicative efforts; to avoid this, share AI workflows in public channels, create a shared library of reusable AI resources, and invest in peer-to-peer AI learning. Second, skipping the ownership conversation causes workflows to degrade; avoid this by giving AI transformation a dedicated owner and naming a business owner and a technical owner for each high-impact AI workflow. Third, treating every AI use case with the same level of scrutiny is a mistake, as illustrated by an app that ranks how transparent something is.