This chapter reframes organizational communication as communicational problem solving rather than simple information transfer, showing how digital speed can amplify noise and spread complexity. It synthesizes research on coordination and verification to explain how constraints, channel properties, and interaction structures influence collective performance and misunderstanding in mediated settings. To support practice, the chapter proposes a Human-Centered Communicational Problem Solving (HCCPS) framework for hybrid and AI-mediated work. HCCPS structures a repeatable cycle—Diagnose, Match, Co-construct, Verify, Govern, and Learn—linking channel choice to diagnosis, making verification explicit, and treating human–AI collaboration as bounded delegation with accountability. The chapter concludes that lightweight artifacts and governance routines can stabilize meaning, improve effectiveness, and strengthen ethical defensibility and legitimacy under real-world trade-offs.

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