Checklists remain one of the most effective tools for improving consistency and quality in complex engineering environments. This workshop explores how checklists evolved from early aviation and medical practice into essential instruments for structured reviews, predictable workflows, and reliable ASPICE assessment outcomes. Participants will examine the characteristics of high quality checklists—clarity, specificity, brevity, and measurable intent—and how these qualities directly translate to stronger peer reviews, more complete evidence capture, and fewer assessment surprises.

As organizations increasingly incorporate AI into engineering workflows, we highlight a modern extension of checklist value: the same principles that make checklist items strong also underpin well crafted AI prompts. By practicing concise intent, explicit constraints, and clear expected outputs, teams naturally strengthen their ability to generate prompts that produce consistent and auditable AI generated content.

The workshop includes two interactive exercises: a simulated ASPICE peer review using a structured checklist and a collaborative improvement of a real world checklist, followed by converting key items into reusable AI prompt patterns. Through these exercises, participants will experience how improved checklist structure raises review quality and how those improvements map directly to more effective AI assisted analysis.

Ideal for engineers, reviewers, assessors, and quality leaders, this session equips participants with practical methods to build better checklists, improve ASPICE readiness, and leverage AI tools with greater precision and confidence.