How to Assess Where to Apply AI
Length: 30-45 minutes
Purpose: Stop the proliferation of low-impact AI pilots and focus capital on initiatives that can scale into meaningful value.
Overview:
Introduces a four-factor evaluation framework: value impact, data readiness, cultural readiness, and execution feasibility
Demonstrates how to score and rank opportunities to separate transformational initiatives from marginal improvements
Uses examples showing successful prioritization and the cost of pursuing too many low-value experiments
Provides a repeatable process for portfolio management of AI initiatives
Key Takeaways:
A four-factor prioritization grid (value impact, data readiness, cultural readiness, execution feasibility) you can use in the next board meeting
Clarity on which opportunities deliver quick wins vs. which require multi-year commitment
A repeatable process for saying "no" to attractive-but-unfeasible projects