{ "background": "Process-control systems are critical for the operational integrity of modern infrastructure, yet their reliability in developing contexts is poorly understood. Inadequate governance frameworks often lead to systemic failures, compromising public safety and economic efficiency.", "purpose and objectives": "This policy analysis aims to quantify the causal impact of a national infrastructure governance reform on the reliability of process-control systems. It seeks to establish a robust methodological framework for evaluating such engineering policies.", "methodology": "A quasi-experimental difference-in-differences design was employed, comparing system performance metrics before and after the policy intervention between treatment and control groups of infrastructure assets. The core model is $Y{it} = \\beta0 + \\beta1 \\text{Treat}i + \\beta2 \\text{Post}t + \\delta (\\text{Treat}i \\times \\text{Post}t) + \\epsilon_{it}$, with inference based on cluster-robust standard errors.", "findings": "The policy intervention significantly improved system reliability, with the treatment group showing a 22 percentage-point increase in mean time between failures relative to the control. The estimated coefficient $\\delta$ was 0.22 (95% CI: 0.17 to 0.27), indicating a statistically robust positive effect.", "conclusion": "Targeted governance reforms can substantially enhance the operational reliability of critical engineering systems. The findings underscore the value of evidence-based policy in infrastructure management.", "recommendations": "Policymakers should institutionalise the continuous monitoring of system performance metrics. The adopted analytical framework should be integrated into the project lifecycle for future infrastructure investments to enable data-driven governance.", "key words": "infrastructure governance, process control, reliability engineering, policy evaluation, difference-in-differences, systems engineering", "contribution statement": "This paper provides the first application of a quasi-experimental econometric method to evaluate the efficacy of an engineering governance policy in an African context, generating a novel dataset of system performance