Business impact
Quantify the value of resolving the workflow bottleneck: time recovered, error rate reduction, decision quality improvement, revenue exposure, or risk mitigation magnitude.
The Playbook
A structured method for ranking AI opportunities by impact, feasibility, and speed-to-value — so investment goes to the interventions that create the most durable advantage.
Method
Not every AI use case is worth building. Leverage scoring separates high-value interventions from expensive distractions by evaluating each opportunity across four dimensions before any development begins.
Quantify the value of resolving the workflow bottleneck: time recovered, error rate reduction, decision quality improvement, revenue exposure, or risk mitigation magnitude.
Assess the technical and organizational complexity of building the solution: data readiness, model complexity, integration requirements, and stakeholder alignment needed.
Estimate the time from project start to measurable business impact. Short feedback loops enable learning and build internal confidence in AI initiatives.
Evaluate the compliance burden, model risk requirements, and oversight infrastructure needed before the solution can operate in production for the relevant workflow.
Combine dimension scores into a composite ranking. Cluster results into quick wins, foundational builds, and strategic bets to guide sequencing decisions.
Translate scored tiers into a sequenced roadmap with dependencies, ownership assignments, and go/no-go criteria for each phase of development.
Outputs
Structured evaluation of all identified opportunities across the four scoring dimensions.
Opportunities sorted into three implementation tiers based on composite scores.
One-page summary for each top-tier opportunity structured for leadership review and approval.
Phased implementation plan derived from leverage scores and dependency analysis.
Engagement Cadence
Output: a scored, tiered, and sequenced opportunity roadmap ready for executive review and implementation planning.