Conclusion

AI-native organizations increasingly operate through evolving representation networks in which human and AI actors jointly create, interpret, revise, and act upon organizational cognition. The central theoretical problem is not merely how these organizations process information or coordinate action, but how they preserve coherence among intent, decisions, execution, outcomes, memory, and learning.

This paper introduced Cognitive Integrity as the emergent organizational state associated with sustained Organizational Correspondence. It distinguished the construct from adjacent theories, defined its boundaries, developed a conceptual model, specified preservation mechanisms and failure modes, advanced propositions, and outlined a preliminary measurement agenda.

Cognitive Integrity does not replace existing theories of learning, memory, coordination, resilience, AI governance, or digital organizing. It complements them by identifying a specific organization-level state: coherent, consistent, and traceable organizational cognition across human and AI actors over time. As organizations become increasingly AI-native, preserving Cognitive Integrity may become central to their capacity to adapt without losing the correspondence among the representations through which they think, decide, act, remember, and learn.