Enterprise risk problems often start as data-platform issues. Challenges include fragmented signals, inconsistent definitions, missing context, weak lineage, and untimely alerts. Whether evaluating transactions, support messages, images, or metrics, the main question is: how can we turn imperfect evidence into explainable, defensible decisions?Observations from a hackathon revealed recurring design pressures in digital safety projects. Local language and context significantly influenced outcomes. Network access was often unreliable. No single detector proved sufficient. Risk scores without clear justifications were challenging to interpret. Although not a universal solution, these insights support a practical guideline: maintain decision paths that are local, modular, and auditable.