Explainability

Explainability is the degree to which the reasoning, assumptions, analytical processes, or outputs of a model, system, or decision can be understood by human decision-makers. Although the concept has become closely associated with Artificial Intelligence, Explainability applies equally to business models, forecasting methods, analytical frameworks, and strategic recommendations.

An explainable analysis enables stakeholders to understand how conclusions were reached, which variables influenced the outcome, what assumptions were applied, and where uncertainty remains. This transparency improves trust, facilitates constructive challenge, and enables organizations to validate reasoning before acting on important decisions.

Explainability becomes increasingly important as organizations rely on sophisticated analytical methods that may otherwise appear opaque to non-technical decision-makers.