Bridging the AI Paradox: Why 80% of Enterprises Struggle to Scale AI
- Bodhi Brata Das
- Oct 14
- 1 min read

Despite heavy investments in AI, most enterprises still fail to move beyond experimentation. This article explores the “AI Paradox” — why innovation stops after the proof-of-concept stage — and how Kriv AI’s Readiness Framework helps organizations overcome gaps in data governance, model monitoring, and executive alignment.
Understanding the AI Paradox
Common Pitfalls: From Disconnected Data to Unclear ROI
The Role of Readiness Audits in Real AI Maturity
How Kriv AI Accelerates Adoption Responsibly

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