Prioritizing AI Initiatives and When AI Is Not the Answer
Explore how to effectively prioritize AI initiatives using a scorecard that evaluates business value, feasibility, sustainability, strategic alignment, and risk. Learn to make informed portfolio decisions about scaling, pausing, terminating, or avoiding AI projects based on clear evidence and strategic fit. Understand when AI is not the best solution and how to protect organizational investments by selecting the most suitable approach for given business challenges.
Eight pilots now compete for one budget in the complaint backlog case. Three of them are shown in the table below. The GenAI first-reply pilot in the complaint case has a clear workflow and outcome, but it must compete with pilots that sound promising yet lack usable evidence. We need a portfolio decision, not a longer list of ideas.
A prioritization scorecard is a shared set of criteria used to compare initiatives transparently. It prevents sponsorship enthusiasm, novelty, or the loudest stakeholder from becoming the deciding factor.
Ranking initiatives by value and feasibility
Assess each proposed initiative across five dimensions.
Business value considers the importance of the outcome, the size of the affected workflow, and the consequence of leaving the problem unsolved.
Feasibility ...