AI systems now generate authoritative statements about companies, products, risks, and conduct. These statements are relied upon by journalists, investors, counterparties, customers, and regulators.
Most organizations cannot reconstruct what those systems said, when they said it, or how those statements varied.
That is not a marketing issue.
It is a governance gap.
Request a Governance BriefingAI has become an uncontrolled representation channel, independent of accuracy.
External AI systems now:
These statements are relied upon in real decisions, yet they leave no authoritative evidence trail.
When questions arise later, organizations cannot prove what was said at the moment of reliance.
Current AI governance focuses on internal systems:
It does not govern what third-party AI systems say about your company, or whether those statements can be reconstructed after reliance.
The AIVO Standard defines how externally relied-upon AI statements are:
It does not optimize AI outputs, tune models, or influence messaging.
It establishes an independent, repeatable, audit-grade evidence layer.
All artifacts are client-owned and designed to withstand scrutiny.
For regulated and non-regulated organizations alike.
Most AI governance focuses on how systems are built.
AIVO governs what happens when AI-generated statements are relied upon.
Because once reliance occurs, evidence is what matters.
Contact: audit@aivostandard.org
