Determines which decisions are worth optimizing, which are distractions, and where leadership believes priorities are aligned when they are not
What This Dimension Examines
We assess decision scope through four lenses to ensure AI effort aligns with business impact:
Identify High-Impact Decisions
We identify the small set of decision that aterailly affect revenue, cost, risk or customer outcomes, and separate them from low-impact activity disguised as progress.
Prioritize Decisions With Leverage
We prioritize decisions by frequency, impact, and reversibility, so leadership invests where the decision outcome actually changes the business.
Surface Ownership & Accountability Gaps
We pinpoint decisions that appear owned on paper but are unowned in practice, creating inconsistent outcomes, overrides, and hidden risk.
Expose Misalignment Across Teams
We reveal where leadership, data teams, and operational teams prioritize different decisions, causing AI effort to fragment and impact to dilute.
Why This Matters
Most AI initiatives underperform because organizations never agree on which decisions deserve optimization. When decision scope is unclear, AI effort becomes a list of use cases, not a business lever, and value leaks while accountability stays vague.
What Leadership Gains
Strategic Focus
A defensible view of which decisions warrant investment now, which should be deprioritized, and which are not worth touching yet.
Reduced Misalignment of AI Effort
Fewer politically driven initiatives, fewer duplicate efforts, and stronger alignment between AI activity and the decisions that actually move outcomes.
