This article, authored by Paul McNamara, CEO of ADAPTOVATE, addresses what it characterises as a fundamental failure in contemporary performance management systems. The central argument is that traditional performance frameworks, designed for stable and predictable organisations, are now misaligned with modern work environments characterised by cross-functional collaboration and AI integration. McNamara contends that underperformance is most often a systemic and environmental failure rather than an individual capability deficit, and that HR leaders must shift from managing performance to designing conditions under which high performance can naturally emerge. Key evidence presented includes a single, unnamed organisational case study in which a low-performing employee became a high performer following leadership and system redesign — without role change or formal intervention. The article draws on Daniel Pink's motivational framework of purpose, mastery, and autonomy as a conceptual anchor. The conclusions suggest that HR's mandate should be architectural — redesigning work systems, feedback loops, and accountability structures — rather than administrative. No quantitative data or peer-reviewed citations are provided to substantiate the claims. Key insights: Underperformance is framed as a systemic signal — indicating failures in clarity, context, pace, or autonomy — rather than an individual capability problem. Traditional performance management frameworks were designed for stable, linear organisations and are structurally misaligned with AI-integrated, cross-functional modern work environments. The article argues that discretionary effort — voluntary high contribution — is unlocked by designing purpose, mastery, and autonomy directly into daily workflows rather than enforcing compliance-based accountability. Practical takeaways: Organisations experiencing persistent underperformance may find value in examining the environmental and systemic conditions around work — such as clarity of purpose, decision-making autonomy, and feedback mechanisms — before attributing performance gaps to individual capability. Embedding learning into delivery through short-cycle feedback and 'teach-back' dynamics is presented as a mechanism for building mastery as a byproduct of work rather than a separate development activity.