Most engineering organisations can claim they "use AI." Very few have designed *how* AI integrates into delivery practices - which workflows change, which roles expand, what the client actually gains. Design AI workflows and agent systems for engineering organisations - from tooling adoption to [[Multi-agent second brain|multi-agent knowledge workflows]] - and build the narrative that makes this a credible differentiator. ^pitch ## Experience [[Tech Evangelist in Brainhub @ part of STX Next|STX Next]]: ![[Tech Evangelist in Brainhub @ part of STX Next#^ai-delivery]] [[Multi-agent second brain]] - personal project, working system: #compose add concrete description of the multi-agent second brain as a deployed example (what it does, what stack, what outcomes) ## Roles - [[Me as AI Workflow Architect]] #compose add a simpler entry point alongside the multi-agent brain: a concrete AI workflow for a delivery team that doesn't require building a full knowledge system - what does the minimal viable AI integration look like