How Fortune 500s Pick Winning AI Use Cases (4-Step Guide)

Choosing AI projects shouldn’t be guesswork.
This video breaks down my 4-step method to find high-value, shippable use cases:
1. Business Impact & Priority (OKRs, KPIs),
2. Shippability & Tractability (Addressable TODAY),
3. Data & Environment (access, compliance, guardrails),
4. People & Adoption (sponsor, SMEs).

Plus a quick example of stacking small wins into a transformation.

Disclaimer: Opinions my own and not reflective of any organization I may be affiliated with

SOURCES:
https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/superagency-in-the-workplace-empowering-people-to-unlock-ais-full-potential-at-work

https://www.bcg.com/publications/2024/wheres-value-in-ai

https://cdn.openai.com/business-guides-and-resources/identifying-and-scaling-ai-use-cases.pdf

https://medium.com/@adnanmasood/identifying-and-prioritizing-artificial-intelligence-use-cases-for-business-value-creation-1042af6c4f93

0:00 - Intro
0:19 - Use Case Landscape
1:06 - What is the 4-Step Framework?
1:31 - Use Case Value and Impact
2:03 - Tractability of Use Case Scope
2:57 - Data and Environment Readiness
3:48 - Talent and Adoption
4:48 - What are AI Transformations?
6:19 - Conclusions

Видео How Fortune 500s Pick Winning AI Use Cases (4-Step Guide) канала Drew Patel