https://fdnbase.com/blog Perspectives on data infrastructure, regulatory compliance, and building systems that preserve what matters. en-us Sun, 04 Jan 2026 09:06:21 GMT https://fdnbase.com/blog/-ai-cant-explain-itself-if-the-data-cant-explain-itself https://fdnbase.com/blog/-ai-cant-explain-itself-if-the-data-cant-explain-itself Sun, 04 Jan 2026 09:06:21 GMT Foundation Team AI explanations fail when the data layer can’t explain itself. Without preserved evidence and provenance, even correct AI decisions become indefensible. https://fdnbase.com/blog/-why-current-state-data-fails-audits--even-when-its-correct https://fdnbase.com/blog/-why-current-state-data-fails-audits--even-when-its-correct Sun, 04 Jan 2026 09:04:19 GMT Foundation Team Audits don’t ask what’s true today. They ask what you believed then — and why. Current-state data overwrites the very evidence audits require. https://fdnbase.com/blog/why-defending-a-decision-is-harder-than-making-one https://fdnbase.com/blog/why-defending-a-decision-is-harder-than-making-one Sun, 04 Jan 2026 09:01:47 GMT Foundation Team Most systems can tell you what’s true today — not what was believed when a decision was made. When audits, disputes, or regulators ask “why,” that gap becomes existential.