The only real-time index tracking where agentic AI governance is failing — and what plumbing pattern broke first. Aggregated from Gartner, McKinsey, Stanford AI Index, IAPP, and S&P Global.
Projects at Risk
40%+
Scrapped by 2027
Zero ROI Rate
95%
AI Pilots · MIT
Boards Without Metrics
61%
No AI KPIs · IAPP
Governance Advantage
12×
Better Deployment
Ranked by Failure Risk Score (FRS) — a weighted composite of governance readiness, data maturity, business case clarity, trust controls, and budget adequacy.
Sources: Gartner 2024 · S&P Global AI Benchmarking Study · IAPP AI Governance Report · Stanford AI Index 2024 · McKinsey Global AI Survey
Which of the four AI Plumber foundational governance patterns are most commonly violated across failing projects right now.
Last refreshed
Q1 2025 · March
Per-sector compliance index benchmarked against EU AI Act, ISO 42001, and SAMA frameworks. Updated quarterly against enforcement filings.
| Sector | SAMA | Overall |
|---|
Scale: ● Compliant · ◐ In Progress · ○ Non-Compliant · — Not Applicable
Key Finding: Organizations that retrofit compliance face 3.4× the cost of building governance-first
Only 50% of global enterprises are compliant or working toward compliance. The remaining 50% face enforcement risk from the EU AI Act (effective Aug 2024), with fines up to 3% of global annual turnover for non-high-risk violations and 6% for prohibited practices. SAMA compliance is now a prerequisite for all financial institutions operating in GCC markets.
Recent signals from public sources, enforcement filings, and industry reports.
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Failure Risk Score (FRS)
Composite score across all 5 weighted failure dimensions specific to your industry
Governance Gap Report
Identify which AI Plumber patterns are missing and what it costs you per quarter
Benchmark vs. Industry Peers
See how your governance score stacks up against sector averages in this index
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aiplumber.dev/index · Q1 2025