SMU Completes Campus-Wide Tech Overhaul, Automating Finance, HR and Procurement
Source: iTnews Asia
Singapore Management University has finished a campus-wide overhaul of its finance, HR, procurement and travel systems, consolidating them onto one cloud platform. Since going live in January, 83% of staff have adopted the new HR system and nearly 3,900 automated workflows have been triggered, part of the university's SMU2030 digital transformation strategy.
Singapore Management University has quietly finished a campus-wide overhaul of the systems that keep the university running. Finance, human resources, procurement and travel management have all been consolidated onto a single cloud platform, replacing decades of isolated legacy systems with one digital backbone — and the early numbers suggest the bet is paying off.
The scale of the change is visible in the usage figures. Since the platform went live in January, 83% of employees have adopted the new HR system and nearly 3,900 automated workflows have been triggered across the university. More than 10,000 suppliers have registered through self-service onboarding, and roughly 4,700 purchase orders have been processed through the integrated procurement pipeline. On the finance side, SMU has logged over 3,600 expense claims, completed 3,700 payments and recorded more than 500 accounts receivable collections in the months since launch.
The project is part of SMU2030, the university's broader strategy to strengthen academic, research and operational capabilities through digital transformation. CIO Lau Kai Cheong says the consolidation has enhanced operational efficiency, improved decision-making and created a scalable foundation for future innovation — the standard argument for enterprise modernisation, but one backed here by unusually concrete adoption data rather than vendor promises.
What makes this interesting beyond one campus is the pattern it represents. Universities, like most legacy-heavy institutions in Singapore, tend to bolt new tools onto old systems until the stack becomes unmanageable. SMU chose the harder path: rip out the fragmented architecture, harmonise processes and automate from a single source of truth. That is exactly the kind of operational discipline AI adoption will demand later — messy data and duplicated workflows are the silent killers of machine learning projects.
Why it matters for Singapore: SMU's overhaul is a useful case study for the rest of the public sector and education institutions eyeing AI. Singapore keeps pushing digital transformation as a national project, but the bottleneck is rarely the technology — it is the underlying operational plumbing. Institutions that sort out their data and workflows first, as SMU has done, will be the ones that actually get value from AI when they plug it in. The automation already running here is the foundation that makes that next step possible.
