AI Use-Case Portfolio & WSJF Prioritization
Which AI initiatives deserve funding?
Translate your opportunity inventory into a ranked, funded portfolio of AI initiatives using WSJF scoring adapted for AI economics — including data readiness and governance burden as scoring factors. The result is a clear stack-ranked backlog with budgets allocated, ready for execution.
| Duration | 3–5 weeks |
| Segments | Mid-Market, Enterprise |
| Pricing | $35K–$140K fixed fee, with value-share options |
What You Get
Ranked Backlog
Stack-ranked AI initiatives with WSJF scores, confidence ranges, and full explainability — so everyone knows why one initiative ranks above another.
Funding Allocation
Capacity allocation across your budget and talent, with budget envelopes for execution. No more unfunded prioritization exercises.
AI-Specific Factors
Each candidate scored on Business Value, Time Criticality, Risk Reduction, Job Duration, plus Data Readiness Multiplier and Governance Burden modifiers.
How It Works
One-page lean business cases for each AI candidate. No essays — just enough information to score.
Stakeholder calibration on point scales and weight modifiers, including the two AI-specific factors: Data Readiness and Governance Burden.
Score all candidates. Produce ranked list and capacity allocation. Every score is explainable.
Lean budgeting workshop. Allocate budgets to top-priority initiatives. Portfolio-level funding decisions made in a single session.
Quarterly portfolio sync, monthly value-realization review. Sustained governance, not a one-time exercise.
Who This Is For
Organizations with a growing list of AI ideas but no systematic way to rank them, assign budgets, or explain why one initiative gets funded over another.