This session explores how GenAI is evolving from reactive copilots to proactive systems that enhance software architecture. Learn how AI can predict risks, improve code quality, and integrate seamlessly into developer tools—moving from passive assistance to intelligent, context-aware automation. Key Takeaways: Understand how to evolve GenAI tools from reactive assistants to proactive systems that integrate into software architecture. Learn practical strategies to embed AI in developer workflows for risk detection and quality forecasting. Gain insights into real-world deployment challenges, including trust, explainability, and workflow fit. Audience Benefits: Architects, engineering leads, and developers will leave with actionable ideas to design AI-enhanced systems that improve productivity, system reliability, and collaboration—whether building in-house tools or adopting existing GenAI solutions.