Traditional enterprise automation systems often lack the contextual intelligence and flexibility required in logistics-intensive environments, particularly for small and Medium-Sized Enterprises (SME). This paper proposes a five-phase implementation framework for Cognitive Enterprise Hubs (CEH), emphasizing role-sensitive deployment and continuous alignment between human and AI. The model combines architectural planning, AI integration, and cultural adaptation to support scalable and adaptive collaboration across federated ecosystems. Empirical validation is provided through two cross-sector case studies and a multi-role survey with 18 participants from IT, cybersecurity, and telecommunications sectors. Findings reveal notable perceptual differences across organizational roles, especially between IT leaders, transformation strategists, and frontline employees, regarding CEH impact on productivity, support, and future opportunities. The study underscores that CEH success depends not only on technical orchestration but also on socio-cultural alignment. To address this, we offer practical deployment guidelines tailored for SME and logistics-driven operations. By integrating technical and organizational perspectives, this work advances the practical deployment of intelligent enterprise systems, positioning CEH as enablers of inclusive, cognitively enhanced coordination frameworks.