AI Portfolio Optimization Dashboard
A concept for evaluating and prioritizing AI initiatives using value, risk, and implementation complexity scores.
Overview
This concept outlines a lightweight framework to assess AI experiments on value, risk, and complexity. It helps leaders make funding decisions based on clear metrics and trade offs.
Challenge
Early AI experiments are difficult to compare across teams and lack standardized criteria for prioritization. Without consistent evaluation, decision making can be subjective and inefficient.
Approach
The framework assigns scores across key dimensions and aggregates them into a prioritization matrix. The dashboard surfaces recommended pilots, expected ROI ranges, and suggested next steps to operationalize the top candidates.
Results
The framework improved alignment across stakeholders and provided a defensible way to prioritize investment. It serves as a repeatable mechanism to move experiments from research to production with clear milestones.