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 what it takes to move beyond AI code generation and build reliable, enterprise-grade applications. Galal draws a sharp distinction between "vibe coding" and the rigorous discipline required for highly regulated environments. He explains how Appian's platform treats every piece of AI-generated code as guilty until proven innocent, with multiple independent validation checkpoints — human and system-bound — spanning the full development lifecycle. Applying Eliyahu Goldratt's Theory of Constraints, he frames the management challenge as continuously identifying bottlenecks across the entire system, not just compressing a single step, to optimize end-to-end throughput. The conversation also explores how customer conversations at Appian World have shifted from "how do I apply AI?" to "how do I stay competitive and cut costs?" Galal notes that legacy systems once considered too time-consuming to modernize are now viable targets, with AI capable of compressing those timelines to as little as 25% of their former duration. He weighs in on the OpenClaw movement, crediting its creator for democratizing agentic loops and opening autonomous AI workflows to non-technical users — while cautioning that serious business processes demand the governance and accountability a purpose-built process platform provides. From breathing new life into decades-old systems to enabling enterprise-grade agentic workflows, Galal provides a roadmap for how organizations can harness AI without sacrificing the rigor that regulated industries require.