Kahua is a Business Reporter clientConstruction is responsible for building the infrastructure that powers the global economy, yet the industry lags in digitisation.While other sectors have embraced data and automation, construction continues to operate across fragmented systems, manual workflows and disconnected teams. At the same time, capital programs have grown more complex. Organisations are managing portfolios of investments that span years and billions of dollars. Leaders are now handling hundreds of moving parts while balancing competing stakeholder priorities. What was once manageable at the project level becomes exponentially more difficult at the program level. The real challenge for construction is fragmentation at scale For most organisations, the issue isn’t a lack of technology. Internal and external teams maintain their own versions of project data, which means reporting requires manual reconciliation. The result is a persistent gap between what’s happening in the field and what leaders can confidently see. Within a construction portfolio, this fragmentation is structural. Each project introduces new teams, new workflows and new systems, making it difficult to establish consistency across an entire program. This lack of consistency introduces real risk. When decisions made today impact outcomes months or years in the future, leaders need visibility and control. AI in construction won’t fix the underlying data problem Attention naturally turns to artificial intelligence. It’s easy to see why, with the promise of automated workflows, instant document analysis and improved decision-making. But the hype is built on a flawed assumption that AI itself is the solution. Across the industry, data remains incomplete and disconnected. Without a reliable foundation, AI only amplifies the issue. In practice, AI’s effectiveness is constrained by the environment it operates in. If AI is pulling insights from inconsistent data across multiple systems, outputs become harder to validate and decision-making becomes complicated. This challenge is widely recognised. Fragmented data ecosystems and lack of interoperability are among the primary barriers to AI adoption in construction. As one industry advisor puts it, the problem for AI in construction isn’t the sophistication of available tools but the readiness of the systems they’re built on. That distinction matters. Many organisations are adding capabilities before establishing the data structures, governance and workflows required to support them. In these environments, AI introduces complexity without improving clarity. The result is predictable: AI initiatives that generate interest but struggle to deliver consistent, operational value. Until the underlying data environment is connected, structured and properly governed, AI will remain limited in its usefulness.The rise of the construction system of record To address this, leading organisations are shifting toward a different model centred on a unified system of record. “A construction system of record brings together data and documents across the full life cycle – from design to construction to handover – in a way that stays connected,” says Brian Moore, president and co-founder of Kahua. Unlike traditional tools, which are often focused on individual workflows or projects, a system of record creates a consistent foundation across the entire capital program. This shift is subtle but significant. It moves construction operations toward a unified environment where data is structured, governed and continuously accessible. That foundation is what enables AI to deliver meaningful value. From one-off tools to embedded intelligenceAs systems mature, AI is beginning to move beyond standalone features into something more integrated. Rather than existing as a separate layer, intelligent capabilities are increasingly embedded directly into workflows. This allows AI to more effectively support the people responsible for managing complex capital programs. These systems can continuously monitor project health, surface risks earlier and automate routine co-ordination tasks. They can analyse documents, track changes across cost and schedule, and provide guidance based on real-time conditions. “When systems begin to guide decisions, you’ll see improved communication, more accurate and timely data, fewer mistakes, change orders and disputes,” says Scott Unger, CEO and co-founder of Kahua. This represents a shift from reactive management to proactive decision-making. With truly embedded AI, teams are not just responding to information but staying ahead of issues. What early AI adopters are seeing This new model isn’t without challenges. Organisations still tend to focus on highly visible, long-term applications of AI while overlooking more immediate opportunities to improve productivity and decision-making. The most effective AI use cases are often more targeted. There are ample opportunities to reduce administrative burden and improve reporting through faster access to information. At the same time, owners are placing greater emphasis on portfolio-level visibility to better understand trends across programs. The value of AI in construction depends on the quality of the data behind it – for both leaders and teams in the field. Organisations that prioritise structured data, consistent processes and connected systems will see the benefits earlier. The future of capital programs needs human and AI intelligence With the introduction of AI, construction is entering a new phase. “In the future, successful capital programs will be defined by leveraging technology to its fullest extent,” Unger says.But technology alone is not enough. Construction organisations will need people, systems and intelligence to work together across the full lifecycle. Increasingly, capital programs will be delivered through a model where human expertise, connected systems and intelligent capabilities operate together. People will bring judgment and experience, while the right systems will provide structure and a trusted data foundation. This will allow intelligent AI capabilities to operate continuously and support decision-making in real time. Looking ahead, the construction industry will shift towards organisations that can consistently make earlier, more informed decisions, supported by connected systems and embedded AI.Learn how Kahua is bringing connected data, governed workflows and embedded AI together to support the next phase of construction at kahua.com.