Expert Reveals The Pros And Cons Of Maintaining Buildings Using AI
AI technology is increasingly influencing facility management and built environment sectors, providing opportunities to streamline operations and enhance maintenance strategies. However, the adoption of AI presents significant challenges, particularly…
AI technology is increasingly influencing facility management and built environment sectors, providing opportunities to streamline operations and enhance maintenance strategies. However, the adoption of AI presents significant challenges, particularly concerning maintenance schedules for high-risk buildings.
AI is a valuable asset for conducting comprehensive research. In the context of facilities management, AI can rapidly process extensive data to provide insights on maintenance technologies, market intelligence, and regulatory developments. This capability allows human resources to focus on strategic decisions tailored to specific operational contexts.
AI can efficiently review and challenge existing workflows by identifying compliance issues and inconsistencies. In facilities management, AI helps detect workflow gaps, prompting managers to revisit and refine strategies.
AI-driven solutions can predict potential asset failures, optimizing maintenance schedules to prevent unnecessary costs and premature failures. By recommending maintenance timing, AI can enhance asset lifecycles.
However, the adoption of AI presents significant challenges, particularly concerning maintenance schedules for high-risk buildings.
Human Judgment in Maintenance Schedules
AI-generated schedules and contract clauses should complement, not replace, the expertise of engineers and facilities professionals. Human judgment is essential for interpreting legislation, understanding risk, and applying standards in context. AI systems may not account for evolving regulations, potentially leading to non-compliance.
Adaptability to Unforeseen Circumstances
AI systems, designed to follow patterns, may struggle to adapt to unexpected changes, such as sudden activity surges or emergencies. This limitation could result in delayed or improper maintenance.
AI systems may generate maintenance schedules based on outdated legal and technical sources, creating a false sense of compliance. This poses risks, especially in high-risk environments like healthcare facilities.
Mike Talbot, CTO at SFG20, emphasizes that AI enhances efficiency when guided by professionals who understand both technology and asset management. AI supports decision-making but cannot replace the expertise required for accurate, safe, and compliant maintenance strategies.
Based on reporting by techround.co.uk.