This paper presents the architecture and functional model of an Intelligent Environment for Multidisciplinary Collaboration—a cognitive-computational system designed to support knowledge integration, decision coordination, and semantic alignment in heterogeneous expert teams. The IEMC operates through layered components, including PROMPT structures, conceptual template hierarchies, a chronomodel for temporal synchronization, a dynamic knowledge base, and large language model gateways. These components work together to transform fragmented cognitive processes into a unified, reproducible, and adaptive semantic workflow. The system supports formalization of hypotheses, coordination of time-sensitive activities, and accumulation of collective experience in machine-readable form. Application examples from industrial contexts, such as moisture reduction in ore concentrate, demonstrate the feasibility of embedding reasoning, learning, and planning mechanisms directly into collaborative processes. The IEMC offers a scalable solution for cognitive coordination across domains such as biomedicine, environmental science, and digital manufacturing.