A focused, time-bound audit that reveals how AI actually influences critical decisions, where accountability breaks down, and what leadership must address first to reduce risk and restore decision integrity.
What This Dimension Examines
Our Executive Decision Audit examines how AI-influenced decisions actually operate in practice — tracing signals, decision ownership, execution paths, and human intervention to surface where value leaks and accountability fails.
Decision Scope and Materiality Assessment
We identify which AI-influenced decisions materially affect outcomes, carry risk, or create exposure, allowing leadership to focus on the small number of decisions that truly warrant scrutiny.
Signal-to-Decision Flow Analysis
We trace how signals from AI and analytics flow into real decisions, identifying where information arrives too late, is distorted, or fails to influence commitments at the moment decisions are made.
Execution and Override Path Mapping
We map how decisions execute across systems and where humans intervene, override, delay, or bypass AI-informed actions revealing hidden control structures and behavioral workarounds.
Decision Ownership and Accountability Assessment
We assess whether decision ownership is explicit, stable, and defensible — identifying gaps between nominal responsibility and actual authority at the point of commitment.
Why This Matters
When AI-influenced decisions fail, organisations are rarely challenged on model performance - they are challenged on decision accountability. Without clear visibility into how decisions are made, executed, and defended, risk accumulates silently until outcomes are questioned. This audit surfaces those exposures before they become incidents.
What Leadership Gains
Clarity on Where Decision Risk Truly Lives
Leadership gains a clear, evidence-backed view of which decisions are exposed, where accountability is unclear, and how AI actually influences outcomes without relying on assumptions or post-hoc explanations.
Defensible Decisions Under Scrutiny
When challenged by boards, regulators, or customers, leaders can explain how decisions were made, what information was available at the time, and who was accountable without reconstruction or hindsight bias.
