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Explore the untapped potential of AI copilots in technology architecture decision-making through this 27-minute conference talk that reveals why architecture copilots represent the highest-ROI use case most organizations are missing. Discover how architecture decisions drive hundreds of millions in technology spend and determine whether companies stay modern-by-design or fall behind in technical debt, yet most organizations still manage these critical choices with spreadsheets and gut instinct. Learn about three critical challenges keeping CTOs awake at night: achieving visibility across entire tech estates, getting expert recommendations for prioritizing tech roadmaps based on business impact, and enabling autonomous developer guidance that maintains adherence to leadership strategy. Examine what it takes to build a true architecture copilot based on work with $1B+ enterprises and growth-stage companies, including understanding messy systems and implicit knowledge for holistic live visibility, curating context around company goals for AI recommendations that optimize architecture, and defining workflow fabric that powers teams with expert advice while maintaining organizational standards. Understand how this approach unlocks a centralized hub for architecture and tech decision-making that transforms strategic planning, building, and evolution of tech estates beyond simply executing more code. Gain insights from Boris Bogatin, Co-Founder and CEO of Catio, a serial entrepreneur with experience growing five startups and expertise in distributed edge compute, who reframes AI copilots not just as coding productivity enhancers but as strategic levers for competitive advantage and high-ROI tech outcomes.
