The traditional BIM process faces sustainability challenges due to its reliance on manual data input and limited adaptability to evolving project needs. Additionally, BIM tools are often costly, and not all team members may have access to or proficiency with them. These limitations can hinder long-term multidisciplinary collaboration and reduce overall project efficiency. Artificial Intelligence (AI)-driven collaboration offers a promising solution by enhancing the sustainability of the BIM process. AI tools can automate repetitive tasks, analyze large data sets, and deliver real-time insights that improve decision-making and project outcomes. By integrating AI algorithms into BIM workflows, teams can work more efficiently, reduce errors, and improve communication across disciplines. AI also helps bridge skill gaps among team members by making BIM tools more accessible and user-friendly, regardless of expertise level. To explore this potential, this study employed an illustrative case involving a builder, architect, quantity surveyor, and structural engineer collaborating through AI-based tools. The findings show that AI-driven collaboration enhances adaptability and effectiveness in the BIM process, promoting more sustainable and coordinated project delivery. The findings also revealed that a holistic design and construction approach can be achieved by leveraging AI to support interdisciplinary cooperation. The study concludes that AI integration can revolutionize how teams collaborate, leading to more successful and sustainable project outcomes. Without AI, teams may continue to face communication barriers and inefficiencies, limiting the full potential of BIM in multidisciplinary environments.