The Architecture, Engineering, and Construction (AEC) industry faces increasing demand for customised products alongside the transformative impact of Industry 4.0, necessitating flexible production systems. The industry is evolving to meet the need for customised, high-quality products through digital construction methods. However, current methods often involve manual processes, fragmented workflows, or custom solutions that cannot handle the growing complexity of modern projects. Digital twins, which are virtual counterparts to physical systems, offer a solution by enabling real-time synchronisation, monitoring, and optimisation of construction processes. Integrating digital twins into AEC workflows requires a systematic approach to address the industry’s diverse and complex processes. This research introduces a digital twin architecture designed to enhance digital fabrication in the AEC sector. The architecture integrates three core components: action modelling, virtual actor modelling, and service modelling, all facilitated by a central engine that orchestrates interactions between a Cyber-Physical System (CPS) and its digital twin. The approach standardises data flow, integrates diverse fabrication methods, and supports rapid prototyping, addressing various complexities in modern AEC environments. A case study done during a workshop on Collective Robotic Construction (CRC) evaluates the architecture and demonstrates its practical application. The study highlights the effective integration of various digital twins to execute and monitor construction tasks, showcasing the architecture’s versatility and capability in handling complex, decentralised operations. Key findings show the digital twin architecture’s efficacy in streamlining workflows, improving system scalability, and enhancing collaboration among project stakeholders and digital twin services. By leveraging real-time data synchronization and flexible communication protocols, the proposed digital twin architecture offers a scalable and reliable solution for integrating digital twins into new or existing fabrication processes. This research promotes the broader adoption of digital twin technology in the AEC industry, enhancing efficiency, adaptability, and innovation in construction practices.