In this interview from Appian World 2026, Medhat Galal, senior vice president of engineering at Appian, joins theCUBE's Dave Vellante and co-host Alison Kosik to discuss why moving up the abstraction ladder — from raw code generation to governed process automation — is the key to operationalizing AI in the enterprise. Galal draws a sharp distinction between "vibe coding" — prompting AI to generate functional-looking applications — and the rigor required to run systems at scale, noting that AI-generated code rarely reaches production without accumulating security gaps, model drift and an unending maintenance burden. He frames Appian's platform around four human holdouts — intent, review, judgment and taste — arguing that this layer abstracts away technical toil while preserving accountability at every decision point. The conversation also explores how Appian is embracing open architecture, including MCP support announced at the conference, without sacrificing competitive advantage. Galal explains that the platform's moat lies in the governance, security and orchestration layers built over decades — capabilities that no open integration point will expose or erode. He details how AI is reshaping his engineering organization internally, enabling product managers to rapidly prototype ideas at near-zero cost and freeing engineers to focus on higher-order work. From the principle that AI governance must keep humans accountable for every consequential decision to the belief that AI will not replace engineers but will replace those who fail to adapt, Galal provides a clear-eyed roadmap for balancing rapid innovation with the operational control that enterprise deployments demand.