Mike Hideo, Vice President of Software Engineering at TinyMCE, joins Mike Vizard on TechStrong TV to talk about a quiet but seismic shift inside enterprise engineering: product roadmaps are drowning in AI work. Healthcare, banking and government teams who never set out to build AI products are now spending huge chunks of their roadmap wiring up models, UI components and accessibility for AI features that aren't core to their business. Mike walks through why the AI "trust layer" — the control, governance, UI and provenance components around LLM use — will be the next thing developers commodify and outsource, why the entire SDLC has to be rebuilt around agentic workflows ("sprints are dead"), and why ISMs and risk management dashboards will soon track AI usage the way they track corporate risk today. He and Mike also dig into the audit and provenance problem (Article 50 in the EU and coming US frameworks), why AI-generated code needs strong architectural review, why token spend is becoming a budget conversation, and how TinyMCE's drop-in rich text APIs and new TinyMCE AI capabilities help teams add governed AI features without rebuilding their stack every time a model changes.