The Harsh Reality of AI Transformation
2024 industry research reveals why most AI initiatives fail to deliver value
74%
Fail to Show Value
BCG Research 2024
4%
Cutting-Edge Capabilities
Enterprise-wide success
8x
ROI for Leaders
Microsoft Study 2024
Where Companies Stand Today
74%
No Tangible Value
Still struggling with pilots and proofs of concept
22%
Substantial Gains
Beginning to realize meaningful returns
4%
Cutting-Edge
Enterprise-wide capabilities generating significant value
5 Critical Success Factors
Based on analysis of successful AI transformations vs failures
Data Foundation
25% Weight
Data Quality & Governance
Clean, governed data aligned with AI use cases
Leadership & Strategy
20% Weight
Executive Commitment
Clear AI strategy with C-level sponsorship
People & Skills
20% Weight
AI Talent & Skills
Right mix of technical and business expertise
Risk & Governance
15% Weight
AI Governance Framework
Ethical AI policies and risk management
Execution & Focus
20% Weight
Strategic Focus
Focused approach on high-value opportunities
Take Your AI Success Assessment
Answer questions across 5 critical success factors to predict your AI transformation outcome
Step 1 of 5
20% Complete
Data Foundation • 25% Weight
Data Quality & Governance
Clean, governed data aligned with AI use cases
Do you have formal data governance policies and procedures?
Weight: 40% of this factor
Is your data clean, consistent, and regularly validated?
Weight: 35% of this factor
Can you easily access and integrate data across business units?
Weight: 25% of this factor