Ghana’s Engineering Sector Embraces AI to Tackle Administrative Bottlenecks and Boost Productivity

The Ghana Institution of Engineering (GhIE) and industry stakeholders are advocating for the strategic integration of Artificial Intelligence (AI) to address the mounting administrative challenges facing civil engineers in the country. Recent assessments within the sector reveal a concerning trend: engineering professionals are currently spending between 30% and 50% of their working hours on non-core administrative tasks, including report writing, paperwork, and navigating complex approval processes. This shift toward digital automation is being positioned as a necessary evolution to restore industry productivity and allow engineers to refocus their expertise on design, analysis, and site supervision.

Technological innovation is already taking root through the development of specialized AI-driven tools tailored for the local context. Ing Aaron Boateng-Duah has spearheaded the creation of digital solutions designed to consolidate project management functions into a unified platform. These tools aim to automate repetitive tasks such as report generation and real-time task tracking, which have historically bogged down project timelines. By streamlining these workflows, the technology seeks to eliminate the fragmentation that often characterizes large-scale engineering projects, ensuring that data-driven insights are readily available to project managers and stakeholders.

Despite the push for rapid automation, industry leaders are careful to maintain the importance of professional oversight. Michael Koduah, representing the Ghana Institution of Engineering, has emphasized that while AI offers immense benefits in processing speed and organizational efficiency, the nuanced decision-making and ethical judgment of human experts remain indispensable. The GhIE’s support for these technologies signals a broader institutional commitment to modernization, provided that the foundational principles of engineering safety and professional integrity are upheld during the transition to more automated systems.

Moving forward, the adoption of AI in Ghana's engineering landscape is expected to significantly narrow the efficiency gap in national infrastructure delivery. As the sector continues to grapple with complex urban development and resource management challenges, the reduction of administrative bottlenecks will likely result in faster project completion times and more cost-effective outcomes. The success of this digital transition will ultimately depend on continued collaboration between software developers and engineering professionals to ensure that AI serves as a catalyst for sustainable national development.