AI Product Operating System - Part 3: Accelerated Development Without Losing Control

AI coding agents are changing how software gets built — not just GenAI products. In this webinar, we explore *AIPOS Pillar 3: Accelerated Development* and how product and engineering teams can use AI to build software faster without letting speed become risk. The Accelerated Development model is built around a practical operating principle: let AI do roughly 80% of the work — code, tests, and evaluation runs — while humans own the critical 20%: specification, review, exceptions, and release accountability. But faster development can create downstream risk if teams do not have the right structure in place. More speed can lead to more bugs, fragile releases, heavier reviews, rework, and delivery risk. This session shows how teams can move from a validated blueprint to a production-ready release candidate using structured build packets, guardrails, and R0/R1 validation. *The agent proposes. Governance decides.* In this webinar, you’ll learn how to: Place Accelerated Development within the AIPOS lifecycle Apply the 80% AI / 20% human operating model Turn a validated MVP scope into a build-ready Development Readiness Package Break work into small, testable Coding Agent Build Packets Use architecture, safety, and evaluation guardrails to control risk Apply R0 structural and R1 behavioral validation before release This webinar is designed for product and engineering leaders using AI coding agents to accelerate software development while managing quality, accountability, and release risk. Learn more about Accelerated Innovation: [Add website link] #AICoding #SoftwareDevelopment #AIEngineering #ProductDevelopment #EngineeringLeadership #AIPOS #AcceleratedDevelopment #GenerativeAI