RDIV / AI GOVERNANCE

CAN YOUR ORGANIZATION STILL GOVERN THE AI IT RELIES ON?

Assess whether an organization can explain, audit, contest, suspend, replace, and govern the AI systems entering consequential workflows.

[ COMMERCIAL SERVICE ]

The audit maps decision authority, model and vendor dependencies, data and compute exposure, logging and auditability, human override, contestability, continuity, procurement constraints, replacement paths, and the ability to suspend or exit a system without losing the function it provides.

The governing questions

Who can inspect the system? Who can change it? Who can stop it? What happens when a provider fails? Can an affected person contest an AI-shaped decision? Can the organization replace the model, vendor, cloud, or workflow without losing operational continuity?

Evidence standard

Documented dependencies are separated from inferred or unknown relationships. Governance conclusions are bounded to the records and interviews actually reviewed. Material gaps remain visible rather than being converted into false confidence.

Best starting point

Organizations that want to test one workflow before commissioning a broader audit should begin with the R/IV AI Verification Sprint. It creates an evidence file that can become the first unit of a larger governance assessment.

[ NEXT STEP ]

VERIFY ONE WORKFLOW FIRST

Consequential findings remain human-reviewed and bounded to the admitted record.

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[ SERVICE BOUNDARY ]

BOUNDED EVIDENCE.
NO FALSE CERTAINTY.

R/IV reports state what the reviewed record supports, conflicts with, or leaves unresolved. They are not legal, medical, accounting, investment, or regulatory advice unless separately contracted for that purpose.

TERMS PRIVACY STANDARDS