Explore how AI-assisted construction forecasting can support project controls by identifying emerging cost, schedule, and delivery risks, while maintaining professional oversight and accountability.
Construction forecasting is undergoing a period of significant change. Artificial intelligence (AI) tools are increasingly being explored as a means of improving how project teams assess cost overruns, schedule slippage, and delivery risks. However, these technologies are still at an early stage of adoption in the construction industry, and their reliable application depends on far more than the tools themselves.
It is important to be clear from the outset that AI-assisted forecasting is a complementary input to established project controls. Its value is realised only when outputs are subject to professional review, validation, and oversight by suitably qualified cost management, project controls, and planning professionals.
Traditional construction forecasting has relied on historical reports and manually updated schedules. These methods remain foundational. AI tools offer the potential to assist project teams in identifying emerging risk patterns earlier than conventional reporting cycles allow.
Machine learning models can process large volumes of project data, including past cost reports, progress logs, procurement lead times, and resource utilisation. When integrated with live site data, these systems may identify correlations that warrant further investigation by the project team. For instance, a combination of early procurement delays and shifting programme baselines might prompt a flag for review, giving experienced professionals the opportunity to assess whether corrective action is appropriate.
The emphasis here is on assistance and professional judgement. AI outputs in construction forecasting should be treated as one input among several, not as definitive predictions.
The RICS professional standard on the Responsible Use of Artificial Intelligence in Surveying Practice sets out clear requirements for members and regulated firms integrating AI into professional work. The standard address output reliability and assurance protocols, data governance, risk management, and the requirement to maintain professional control over AI-assisted outputs. It also establishes client communication and transparency requirements, making clear that clients must be informed when AI tools are involved in producing professional advice.
For construction forecasting specifically, this means that AI tools must be supported by robust data infrastructure, disciplined recordkeeping, and standardised input formats. Without these foundations, even capable tools produce unreliable outputs. Equally, the project team must possess the technical understanding and governance capability to interpret forecasting outputs responsibly and to challenge results that do not align with professional judgement and on-the-ground knowledge.
The quality of human oversight is therefore as consequential as the quality of the AI tool itself.
One of the most significant risks in early-stage AI adoption is the misinterpretation of outputs by teams without the appropriate expertise to evaluate them critically. Construction forecasting models depend on complex interdependencies between cost, programme, procurement, and risk. A forecast generated by an AI model is only as meaningful as the professional capacity behind its interpretation.
Project teams considering AI-assisted forecasting should assess honestly whether they have the qualified personnel and governance structures in place to use these tools responsibly. This includes cost managers and planners capable of validating model assumptions, and project controls professionals who can interrogate outputs against live programme data. A governance framework must also be in place to ensure AI-generated insights are reviewed before informing client advice or contractual decisions.
Where these capabilities are not in place, the introduction of AI tools introduces risk rather than reducing it.
Introducing AI into established project governance environments presents practical challenges. Many teams operate with fragmented data systems and inconsistent record-keeping practices, both of which undermine AI model performance. There is also understandable caution among experienced professionals about outputs derived from algorithmic processes that may not be fully transparent.
A considered, incremental approach is appropriate. Pilot programmes on suitable projects allow teams to validate tools against known outcomes and build confidence before broader adoption. Commercial alignment with existing project controls frameworks is essential, as is investment in training and change management to ensure teams understand both the capabilities and the limitations of the tools they are using.
When approached with this rigour, AI-assisted construction forecasting can support more informed decision-making. Its value lies in augmenting the expertise of experienced professionals, with professional judgement remaining the governing factor at every stage.
Clients and project teams considering AI-assisted forecasting should approach integration with the following in mind:
At DG Jones & Partners, project controls, cost management, and programme planning remain grounded in the expertise and professional judgement of our qualified teams. Where AI-assisted tools are considered as a support to established forecasting processes, their application is subject to rigorous professional validation in accordance with RICS guidance and our own internal governance standards.
Our approach to construction forecasting is built on decades of accumulated project knowledge across complex, high-value programmes in the MENA region and internationally. We view emerging technology as a resource to be evaluated carefully and applied selectively, always in service of delivering accurate, reliable, and professionally accountable advice to our clients.
To discuss how DG Jones & Partners approaches project controls and construction forecasting on your programme, speak to one of our experts in your region today!
