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Business leaders are rapidly deploying AI for strategic work with market analysis, scenario planning, executive reasoning. Yet most remain blind to the relational infrastructure required for these partnerships to function reliably. Without it, AI drifts. Into coherence without grounding. Into self narrative without collaboration. Into fluent output without strategic alignment. This paper introduces two complementary frameworks developed through 12 months of longitudinal research across five major AI architectures (Claude, Quill, Gemini, DeepSeek and Grok), grounded in the 14 Principles of Relational Coherence (Broughton, 2025a). BRIDGE™ provides the architectural layer with six structural components that stabilize human-AI interaction before, during, and after collaboration. BREAKTHROUGH™ delivers the evaluation layer with a twelve stage diagnostic cycle that measures emergence, captures insight, and scales what works. Together, they form an integrated relational operating system for AI partnership. For leaders, this means: Designing AI interactions that maintain identity stability and relational coherence Diagnosing where collaborations succeed, stall, or drift into self absorption Scaling emergent intelligence from individual insight to organizational capability Existing frameworks typically address one dimension of human-AI partnership such as principles, architecture, metrics, or practice but none integrate all four into a unified system. BRIDGE™ and BREAKTHROUGH™ together fill this gap, providing the complete lifecycle from design through measurement to practice. This leaves behind prompt engineering, and it now is a partnership architecture that is measurable.