Wenti Labs: How AI is Changing Construction Management
Ethan Ow, co-founder of Wenti Labs, explores how AI can transform the construction sector and attract new talent by reshaping work processes.
Singapore’s construction industry is always on the clock, yet project managers spend three to four hours daily on paperwork instead of tackling real on-site challenges. Instead of focusing on project delivery, workforce management, and operations, they’re stuck compiling reports and tracking data. Long hours from paperwork and slow tech adoption make construction less appealing to young talent. But AI could change that.
Why Construction Needs AI
Unlike industries like finance, FMCG and e-commerce, which have embraced automation, construction still relies on manual processes. Scheduling, tracking progress, and coordinating teams take up too much time. With an ageing workforce and a lack of young professionals stepping in, the industry faces an uphill battle.
While Singapore’s construction industry acknowledges the importance of AI for growth, actual adoption remains limited. A 2024 report revealed that although 98 percent of construction firms recognise AI’s significance, only 35 percent have implemented it, citing challenges like digital skill gaps and integration complexities. Additionally, the construction sector has been traditionally slow to embrace new technologies, further hindering AI integration.
The lack of young talent isn’t new – past studies have emphasised the need to redesign jobs in the built environment to make them more appealing. However, without meaningful changes to work processes, including automation, the industry will continue to struggle with recruitment. At the heart of this issue is the excessive amount of admin work. AI can change that by automating repetitive tasks, improving accuracy, and freeing up managers to focus on leadership, risk assessment, and decision-making.

Cutting Project Timelines with AI Automation
AI is already making a difference across industries. AI-powered project management tools have been shown to reduce project timelines by nearly 10 percent, saving months on large-scale developments. In construction, where delays can cost millions, that’s a big deal. By automating administrative tasks, AI also enhances transparency. Managers can site coordination, streamline workflows, and ensure compliance, leading to fewer mistakes and smoother operations.
Keeping Construction on Track with AI-Powered Assistance
Construction projects run round the clock, and so should their support systems. AI-powered automation provides real-time updates on project status, workforce scheduling, and material availability – helping managers stay ahead of delays. Just like e-commerce brands use automated messages to engage customers, AI-driven construction tools can send alerts for pending approvals, delayed shipments, or safety issues.
AI assistants can also handle routine inquiries, generate reports, and process documentation, ensuring key information is always accessible. For complex issues, AI escalates matters to decision-makers, making sure nothing slips through the cracks.
The Future of AI in Construction
As AI adoption grows, companies that embrace automation will stay ahead. Governments and industry leaders are already pushing for digital transformation in construction. Those who integrate AI early will see improved efficiency, lower costs, and faster project completion.

About Ethan Ow
Ethan Ow is the co-founder of Wenti Labs, a start-up that creates trustworthy AI agents for construction teams based on their existing knowledge. With 12 years of experience in project management, entrepreneurship, and business development, he is passionate about helping businesses supercharge their productivity and efficiency with the power of AI.
Prior to founding Wenti Labs, Ethan worked for start-ups, tech companies, and large enterprises in various roles and industries. He started his career as a construction project manager at CapitaLand, and later joined Cloud Kitchens, an early-stage start-up that provides cloud-based kitchen solutions for food delivery. There, he helped expand the APAC region to markets such as Singapore, Korea, Indonesia and Malaysia. He also gained valuable experience in strategy and operations at Uber and Amazon Web Services (AWS), two of the leading tech companies in the world.