Most organisations cannot evidence what AI systems are saying about them, when it changed, or whether misleading narratives were detectable at the time of reliance.
The AIVO Standard is a governance and evidence framework designed to identify, evidence, and control risk created by AI-generated outputs — across time, models, and decision contexts.
This is not optimisation.
It is defensible AI output governance.
The AIVO Standard is designed to govern AI-generated narratives that influence real-world decisions, including:
These narratives increasingly appear outside company-controlled channels, yet are relied upon as authoritative.
AI outputs are:
Traditional monitoring, PR, or compliance tools do not create evidence of what AI systems said at the moment decisions were influenced.
The AIVO Standard replaces the former "visibility stages" with a governance lifecycle built for legal and risk teams.
Controlled prompt packs designed to simulate real-world reliance scenarios relevant to legal, regulatory, procurement, and consumer decision-making.
Identical prompts executed across major LLMs (e.g. ChatGPT, Gemini, Grok, Perplexity), captured live, date- and time-stamped.
Purpose: establish what was said, by which system, and when.
Repeated test windows using identical structures to identify:
Purpose: distinguish systemic risk from one-off anomalies.
Discrete claims are extracted, fingerprinted, and tracked using Reasoning Claim Tokens (RCTs).
Purpose: provide claim-level traceability suitable for audit, dispute, or regulatory review.
AI behaviour is translated into:
Purpose: enable board-level understanding and prioritisation.
All findings are preserved in immutable, versioned ledgers capturing:
Purpose: create defensible proof of diligence.
Where inaccurate or misleading AI narratives are identified, the CAL™ (Correction & Assurance Ledger) records:
Purpose: demonstrate that the organisation acted responsibly once risk was identified.
This is a critical control for:
AIVO outputs are governance artefacts, not dashboards.
Typical deliverables include:
Each output is designed to be:
The AIVO Standard is used by teams responsible for organisational exposure, not growth metrics:
Marketing optimisation is not the objective.
Risk control and evidentiary assurance are.
The AIVO Standard is grounded in:
Our work has been published, cited, and referenced across enterprise and industry media, reinforcing relevance — while our methodology provides correctness.
Stable AI visibility is a by-product of governance, not a service.
Organisations that:
naturally achieve more stable, defensible AI presence over time.
Visibility follows control.
Request a Governance BriefingA confidential discussion focused on AI output risk, evidence gaps, and governance readiness.
