Automated Personal Identification Mechanisms (APIMs), used in the identification of individuals, operate in diverse environments ranging from border control policing to on-line banking. APIM solutions, however, have vulnerabilities and some attract societal issues. In this paper we describe ASMSA, a qualitative approach for selecting the most suitable mechanism to automatically identify individuals for a given context. ASMSA determines the optimum APIM by prioritising stakeholders' objectives and mapping these to comprehensive requirements in order to articulate suitability as measurable attributes. ASMSA includes an evaluation framework and a selection method that builds on our earlier work, which established over 200 criteria to evaluate APIMs. ASMSA's selection method includes Multiple-Stakeholder Processes (MSPs) and the use of Multi-Objective Multi-Criteria (MOMC) decision-making techniques. ASMSA is designed to ensure that relevant stakeholders' needs and preferences are considered effectively prior to the assessment of candidate solutions.