See how CFOs and controllers deploy AI that survives an audit. 
What Is Defensible AI?
Defensible AI is the process of using AI systems in such a way that all of the outputs can be explained, traced back to the original data and relevant logic, and independently checked by a human reviewer, auditor, or regulator. Unlike black-box AI, which gives answers without any clear or traceable reason, defensible AI combines the outputs of the model with deterministic workflows, documented inputs, version history, and audit trails so that an organization can clearly show how a figure, a decision, or a recommendation was arrived at. This is especially important in fields where accuracy and auditability are essential, and errors could lead to legal, financial, or reputational consequences — for example, in financial close, tax provisioning, SOX compliance, healthcare, and legal review. The fundamental principle is that AI should not only be accurate, but also reproducible, governed, and reviewable on a case-by-case basis, enabling teams to confidently defend their results when challenged.