Governance assessment
Turn one AI system into a governed evidence record.
AIGR™ converts governance requirements into a controlled review: scope is fixed, evidence is assigned to owners, material blockers are separated from ordinary gaps, and the outcome can be explained to executives, procurement and risk teams.
Define exactly what is being assessed.
A governance opinion is only useful when the boundary is explicit. Before evidence review begins, the assessment record fixes the entity, named AI system, intended use, lifecycle stage, jurisdiction and evidence period.
The accountable legal entity and business unit.
The named model, application or AI-enabled workflow.
Development, validation, pre-production or production.
The regulatory context applied to the review.
The evidence window and assessment date.
Policy statements do not pass a control. Evidence does.
Relevant
The artifact answers the requirement being tested rather than an adjacent policy objective.
Current
The artifact reflects the system and period under review and has not been superseded.
Traceable
A named owner, source and date can be tied back to the organization’s operating environment.
Sufficient
The artifact demonstrates that the control operates—not merely that it was intended.
Six governed stages from intake to decision.
Each stage adds information without erasing the audit trail created by the stage before it.
A board-readable view backed by reviewer evidence.
Every material conclusion is traceable to the evidence reviewed.
Severe failures are not averaged away by stronger domains.
Open findings are sequenced into an accountable action plan.
A concise outcome can be read without losing the underlying audit trail.