Method

Four-dimension scoring framework

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.

Dimension 01

Business impact

Quantify the value of resolving the workflow bottleneck: time recovered, error rate reduction, decision quality improvement, revenue exposure, or risk mitigation magnitude.

Dimension 02

Implementation feasibility

Assess the technical and organizational complexity of building the solution: data readiness, model complexity, integration requirements, and stakeholder alignment needed.

Dimension 03

Speed to value

Estimate the time from project start to measurable business impact. Short feedback loops enable learning and build internal confidence in AI initiatives.

Dimension 04

Governance and risk load

Evaluate the compliance burden, model risk requirements, and oversight infrastructure needed before the solution can operate in production for the relevant workflow.

Step 05

Composite scoring and tiering

Combine dimension scores into a composite ranking. Cluster results into quick wins, foundational builds, and strategic bets to guide sequencing decisions.

Step 06

Sequencing and roadmap input

Translate scored tiers into a sequenced roadmap with dependencies, ownership assignments, and go/no-go criteria for each phase of development.

Outputs

Artifacts produced by the process

Scoring matrix

Structured evaluation of all identified opportunities across the four scoring dimensions.

  • Raw dimension scores per opportunity
  • Composite weighted score
  • Risk and governance flag overlay

Tiered opportunity list

Opportunities sorted into three implementation tiers based on composite scores.

  • Quick wins: high impact, low complexity
  • Foundational builds: medium-term capability
  • Strategic bets: long-term moat opportunities

Business case template

One-page summary for each top-tier opportunity structured for leadership review and approval.

  • Problem statement and current cost
  • Proposed intervention and expected outcome
  • Investment estimate and payback framing

Sequenced initiative roadmap

Phased implementation plan derived from leverage scores and dependency analysis.

  • Phase gating criteria
  • Dependency chain visualization
  • Ownership and decision rights by phase

Engagement Cadence

How the process runs in practice

Typical timeline: 1-2 weeks

  • Days 1–3: opportunity inventory review and dimension scoring
  • Days 4–6: composite scoring, tiering, and stakeholder calibration
  • Days 7–10: business case drafting, roadmap sequencing, and final delivery

Output: a scored, tiered, and sequenced opportunity roadmap ready for executive review and implementation planning.