Tailoring IBM Watson for Retention in an Innovation-Driven Workplace

contextualised for a current, past, or hypothetical workplace. The report was aimed at advising a CEO or team leader on the challenges and opportunities of adopting the same AI tool, supported by evidence-based recommendations. The goal was to demonstrate critical evaluation of AI’s impact on HRM, assess workforce readiness, and propose a thoughtful adoption strategy grounded in academic literature. The chosen tool was IBM Watson’s Predictive Employee Retention AI, evaluated for feasibility within SoftNova Solutions, a mid-sized Melbourne-based tech startup. The report began by outlining Watson’s capabilities and IBM’s use case success. It then identified key advantages such as predictive accuracy, employee engagement, and AI-human collaboration, while also addressing significant challenges like data privacy concerns, resource limitations, and technical readiness. The report contextualised these insights within SoftNova’s agile yet under-resourced environment. It proposed a detailed implementation roadmap tailored to SoftNova’s needs, covering workforce training, ethical AI governance, burnout mitigation, and long-term scalability. Academic research and best practice frameworks (e.g., Kotter’s Change Model, capability-driven learning) were integrated to support each recommendation, fulfilling all CLOs related to AI strategy, leadership, and sustainable HRM innovation.