I’m not at all surprised so many enterprise AI deployments fail. So many things have to go right for an agent to make it to production & if one cog in the machine breaks timelines are pushed back (best case scenario) or leadership’s trust is eroded (worst case scenario). Everything that has to work: 1) Scope has to be clear - One workflow with a named business owner, a baseline metric, and a dollar outcome. - Autonomy matched to blast radius: suggest, then act with approval, then act…