We are now looking for master’s students within Industrial Engineering, Engineering Management, Business and Technology, or an equivalent engineering program who are interested in doing their thesis project within Husqvarna Group’s Enterprise AI Hub.
Many organizations have established software development processes, yet AI introduces additional considerations regarding experimentation, validation, risk management, model monitoring, compliance, and lifecycle ownership.
This thesis project will investigate how academic literature and relevant industry practices describe and steer governance throughout the AI lifecycle. It will examine how lifecycle stages, decision gates, and evaluation criteria can support effective and responsible AI delivery.
The focus will be on providing structured knowledge and decision support for Husqvarna Group’s Enterprise AI Hub, which develops AI capabilities and solutions for the wider Husqvarna Group.
The thesis will not define Husqvarna Group’s future AI governance model or make organizational decisions. Instead, it will provide research-based insights, alternatives, trade-offs, and evaluation criteria that can support future discussions and decisions in this area.
The overall goal of the thesis is to investigate governance models for enterprise AI, with particular focus on decision gates, risk management, and lifecycle oversight from ideation to production and continued operation.