Start with something simpler
You don’t need more AI ideas. You need a framework to act on them Download the brief and apply the Rule of Three to your next AI initiative today
Did you know?
98.4% of Fortune 1000 companies are increasing AI investment. Yet only 29% report meaningful returns and just 23.9% have moved AI into production at scale. 2026 is posed to be the year of reckoning for AI leaders.
The problem isn’t the technology. AI leaders operate in high demand, complex environments where AI is being layered on top of misaligned data, unclear strategy, and teams that lack the skills to use it. The absence of a clear AI use case prioritization framework is what keeps results out of reach.
AI isn’t stuck
It’s misaligned
Organizations don’t lack ideas. They lack a structured way to decide which ones matter.
Without a clear strategy execution framework, AI initiatives compete for resources instead of delivering value. Teams move but not together. Progress is hard to measure, and harder to defend.
3 Possible Outcomes
• Best Case Scenario
• Expected Case Outcome
• Minimum Viable/ Acceptable outcome
3 Strategic Questions
• Value
• Feasibility
• Speed to signal
3 Challenges To Overcome
• Challenge 1 / Mitigation
• Challenge 2 / Mitigation
• Challenge 3 / Mitigation
Why it’s different
This isn’t another AI strategy guide
It doesn’t overcomplicate the problem, introduce new layers of process, or assume perfect conditions.
It’s built for real environments where data isn’t perfect, teams are stretched, and results actually matter.
What’s inside the brief
A step-by-step simple AI use case prioritization framework: the Rule of Three, with outcome scenarios and challenge mitigations
A real-world healthcare case study: how one health system used this framework to deploy a sepsis detection AI piloted in a single ICU in four to 6 months
The 3 structural barriers blocking AI ROI across industries and practical ways to address each before they derail your initiative
Leaders responsible for AI strategy and execution
Who need a repeatable strategy-to-execution framework not another roadmap
Teams evaluating multiple AI initiatives
Struggling to prioritize the highest-value use cases and move from experimentation to impact
Organizations moving from experimentation to impact
Organizations that have completed pilots and are now trying to scale with confidence
