Assesses whether AI-influenced decisions have explicit ownership, whether risk is visible at the moment of commitment, and whether accountability is defensible when outcomes are challenged.
What This Dimension Examines
This dimension examines whether ownership and responsibility are explicit at the moment decisions are made, or whether accountability is reconstructed after outcomes are known through reporting and narrative.
Explicit Decision Ownership
This dimension assesses whether material risk, uncertainty, and edge cases are visible to the decision owner before commitment, or whether risk only becomes apparent after execution and outcome
Risk Visibility at Commitment
Our AI systems identify hidden patterns and detect anomalies in your data, helping you make proactive decisions and avoid costly mistakes.
Auditability Of Decision Rationales
This dimension examines whether decision rationale can be reconstructed, defended, and audited when outcomes are challenged by regulators, customers, or internal stakeholders.
Why This Matters
When ownership is unclear and risk is only visible after outcomes occur, organizations create plausible deniability rather than accountability. This dimension exposes whether reporting reinforces responsibility or quietly obscures it.
What Leadership Gains
Clear Accountability For Decisions
Leadership gains clarity on who owned which decisions, what information they acted on, and whether that ownership was explicit or assumed.
Reduced Hidden Risk Exposure
Leadership gains visibility into where risk accumulates through unclear accountability, delayed escalation, or post-hoc justification rather than deliberate decision governance.
