The authority relationship between humans and AI in operational decisions is explicitly defined, specifying what agents may initiate, modify, or resolve autonomously, and what requires human review, with final strategic authority retained by humans.
A score of 10 on AI Supervision means this dimension is fully resolved and no longer a constraint on the phases that follow. Here is what that requires in practice.
The Autonomy Diagnostic scores AI Supervision on a 0 to 10 scale. Each point on the scale reflects a specific observable state in your organization.
AI is not used in operations or is used without any organizational structure around its authority.
AI operates in tasks without defined boundaries and does what individuals ask without governance.
Informal rules about AI use exist but they are undocumented and inconsistently applied.
Governance exists for some AI use cases but the authority relationship is undefined across most deployments.
AI operates in governed workflows in some areas but authority boundaries and escalation rules are incomplete.
AI operates within defined scope in most deployments but consequential action boundaries are not consistently enforced.
AI operates within defined authority, escalation rules exist, and human approval is required before consequential actions.
Every AI action is attributable and reviewable and the authority relationship is explicitly defined across all deployments.
AI functions as a supervised operational layer within defined authority with every action attributable and reviewable.
AI functions as a fully supervised layer with defined authority, escalation protocols, and human override at every level.
The Autonomy Diagnostic scores every dimension of the Ragsdale Framework and tells you exactly where to focus first.
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