Focus: Procurement & Finance

AI route to smarter procurement, finance

AI-driven procurement optimises resource utilisation, reduces waste, and ensures ethical material sourcing.

The GCC’s ambitious $2 trillion infrastructure and construction project pipeline by 2030 underscores the critical need for efficiency, cost control, and resilience. From Saudi Arabia’s mega-projects to the UAE’s AI-driven smart developments, the sheer scale and complexity of these projects demand cutting-edge solutions. Artificial intelligence (AI) is rapidly transforming procurement and financial management in the construction sector, streamlining material sourcing, optimising supplier selection, mitigating supply chain risks, and enhancing financial forecasting.

McKinsey & Company reports that AI-driven procurement solutions have enabled companies to slash operational costs by up to 20 per cent and reduce procurement cycle times by nearly 50 per cent. Furthermore, research published in the European Journal of Accounting, Auditing and Finance Research indicates that businesses leveraging AI-powered predictive analytics have seen up to a 30 per cent improvement in budget accuracy.

The construction industry’s traditional reliance on manual procurement has left it vulnerable to inefficiencies and supply chain disruptions. AI-powered tools are now reshaping procurement by automating routine tasks, analysing vast datasets to identify optimal suppliers, and predicting potential risks, enabling companies to make data-driven decisions that reduce costs and enhance resilience.

Achampong ... AI is rapidly transforming the construction sector.

Achampong ... AI is rapidly transforming the construction sector.

Embracing AI in procurement enables organisations to proactively manage risks, ensure compliance, and achieve significant cost savings. By leveraging AI, procurement professionals can focus on strategic initiatives rather than being bogged down by administrative tasks.

Sustainability is another key driver for AI adoption. The built environment’s significant contribution to global greenhouse gas emissions and resource consumption necessitates AI-driven procurement to optimise resource utilisation, reduce waste, and ensure ethical material sourcing.

AI’s ability to enhance supplier due diligence is also transformative. AI-driven platforms can assess suppliers based on their environmental, social, and governance (ESG) credentials, aligning companies with sustainable partners.

Beyond procurement, AI is revolutionising financial management. AI-powered forecasting tools enable effective resource allocation, improved cash flow management, and minimised financial risks. The ability to analyse historical and real-time data helps finance teams anticipate market fluctuations, prevent cost overruns, and optimise project funding.

The integration of AI in finance functions empowers construction firms to make data-driven decisions, enhance accuracy in financial reporting, and improve overall financial health. AI’s ability to process and analyse large volumes of data in real-time provides a competitive edge in managing complex construction projects.

Ahuja

Ahuja

Financial automation is also streamlining invoice processing, contract management, and compliance. AI-driven tools can identify discrepancies in financial transactions, reducing fraud risk and ensuring regulatory compliance. Automating routine finance tasks frees up teams to focus on strategic decision-making.

Several GCC construction firms have already begun integrating AI into their procurement and financial operations. As an example, a leading UAE-based construction company implemented an AI-driven procurement system that reduced supplier selection time by 40 per cent and achieved cost savings of 15 per cent within the first year. Another example is a Saudi Arabian developer that utilised AI for financial forecasting, resulting in a 20 per cent improvement in budget accuracy and a significant reduction in financial risks.

Despite the benefits, AI adoption presents challenges including high initial investment costs, resistance to change from employees, and the need for specialised skills. To address these, organisations should:

•             Invest in training and upskilling, to ensure that procurement and finance professionals are equipped with the necessary AI expertise;

•             Implement AI in a phased approach, to manage costs and allow employees to adapt gradually; and

•             Promote a culture of innovation, by encouraging leadership teams to embrace AI as a strategic enabler rather than a disruption.

Companies that proactively address these challenges will reap the full benefits of AI in procurement and financial management.

Looking ahead, the role of AI in the construction industry is set to evolve and grow. Emerging trends indicate a shift towards more sophisticated AI applications, such as autonomous procurement agents and advanced predictive analytics for financial management. These advancements promise to enhance efficiency, reduce costs and improve project outcomes.

The future of procurement lies in the intelligent integration of AI technologies. Organisations that embrace this transformation will be better positioned to navigate the complexities of the construction industry and achieve sustainable growth.

AI is not just a tool but a strategic asset in financial management. Its ability to provide deep insights and foresight will be instrumental in driving the financial stability and success of construction projects in the GCC.

As the GCC continues to lead in large-scale projects, AI can enhance supply chain resilience, improve cost control, and forecasting accuracy. Procurement teams must leverage AI for optimised sourcing and sustainability, while finance leaders embrace automation and predictive analytics.

That said, successful AI adoption will require more than just investment in technology; construction firms must also invest in upskilling their workforce, integrating AI within existing frameworks, and promoting a culture of innovation. Policymakers and industry leaders in the GCC must collaborate to create regulatory environments that encourage responsible AI implementation while maintaining ethical and transparent business practices.