FINANCE & SPEND
While AI adoption continues to grow across global industries, procurement remains behind other business functions thanks to a lack of investment – particularly in areas where professionals see the most potential.
That’ s according to SAP Taulia’ s AI in Procurement Report, which reveals spend analysis as the number one application area for AI in procurement, with 35 % of respondents already using it and 43 % expressing appetite for future investment – the highest priority among all use cases.
Yet just 35 % of business leaders worldwide prioritise AI investment in procurement and supply chain overall, placing it behind finance( 43 %), data analytics( 39 %) and cybersecurity( 38 %).
Spend analysis: the strategic starting point The research positions spend analysis automation not merely as an efficiency play, but as a strategic imperative for modern procurement functions.“ The journey begins with intelligent automation of high-volume processes like spend analysis( 43 % appetite) and invoice processing( 39 %),” the report states.“ This isn’ t just about efficiency; it’ s a strategic imperative. Automating these tasks unlocks working capital and provides the financial agility needed to navigate turbulent times.”
This focus on spend analysis reflects a broader shift in how procurement leaders view AI’ s role. Rather than simply cutting costs, automated spend analysis is seen as foundational to building financial resilience and enabling procurement teams to focus on higher-value strategic work.
According to Nikolaus Kirner, Chief Procurement Officer at SAP, AI can help procurement teams“ consolidate data, improve forecasting and enhance risk detection,” positioning them to become“ the intelligent hub of their organisations – driving innovation, resilience and value creation.”
He also predicts procurement teams will become“ smaller, smarter and faster” over the next two to three years by leveraging automation and augmentation.“ Automation will eliminate a significant amount of repetitive, back-office work, while augmentation will empower teams to make more informed strategic decisions in areas such as category management, sourcing and predictive analytics.”
From transactional to predictive Procurement professionals are clear about where AI delivers value beyond spend analysis. The study identifies risk detection and mitigation( 28 %), data-led strategic decision-making( 26 %) and a shift from short-term cash-flow optimisation to long-term product and service quality( 40 %) as key expected benefits.
“ When you wire AI into procurement and working capital, it connects operational signals with financial ones,” explains Andrew Schafer, Vice President of Technology & Security, Engineering at SAP Taulia.
procurementmag. com
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