Why AI Fail
Why 75%+ AI Implementations Fail
Global AI adoption frequently underperforms because organizations treat AI as a technology purchase—not a governed transformation. Failure stems from weak problem framing, poor data readiness, inadequate human oversight, and an absence of continuous compliance.
Why It Matters
- Unquantified risk and compliance exposure
- Siloed pilots that never scale
- Ethical, legal, and reputational liabilities
- Budget waste and stakeholder fatigue
Root Causes
(Observed Across Sectors)
Governance vacuum
No unified owner or operating model
Data unfitness
Fragmented, biased, or non-compliant datasets
Undefined success
KPIs, baselines, and outcomes not specified
Shadow AI
Unvetted tools bypassing risk controls.
No ongoing monitoring
“Go live and forget.”
What NGAI Fixes
ACIM
ACIM lifecycle (Assessment–Compliance–Implementation–Monitoring)
50×50×50 AIQ
50×50×50 AIQ readiness and maturity checkpoints
CIQ cyber-risk mapping
CIQ cyber-risk mapping for insurance alignment
Trustmark
Trustmark certification + annual renewal
Outcomes
Higher ROI, reduced risk, faster time-to-value, durable stakeholder trust.