Governance Standardization Methodology
The canonical definitions, scales, and mathematical frameworks defining the global baseline for AI operational maturity.
AI features that cost more per-request than they earn
80% of AI projects fail to deliver business value (RAND)
No unit economics framework applied to AI compute costs
Product Debt Index (PDI)
The definitive scale for measuring **Technical Insolvency Risk**. PDI quantifies the architectural entanglement caused by probabilistic models embedded directly into critical control flows without a deterministic interception layer (Exogram).
PDI Scale Definitions
- 0-20Deterministically Governed. Complete runtime isolation.
- 21-50Accumulating Hallucination Debt. Partial validation gaps.
- 51-100Architectural Stall Imminent. Verification burden exceeds engineering capacity.
AI Unit Economics Benchmark (AUEB)
The standard measure for **Synthetic COGS**. AUEB evaluates gross margin compression caused by unoptimized inference routing, redundant token generation, and the cost of maintaining vast probabilistic guardrails.
Target Top-Quartile SaaS Baseline: < 8% of COGS attributed to unoptimized inference.
Persistence vs. Authority Baseline
The definitive security standard for **Autonomous Background Agents**. Runtime execution persistence must be strictly decoupled from state-altering write permissions across enterprise databases, CRM systems, and code repositories.
Governance Authority Tiers
- Tier 0 (Read)Persistent passive monitoring, log parsing, read-only extraction.
- Tier 1 (Draft)Sandboxed PR generation, draft staging with mandatory human approval.
- Tier 2 (Write)Strictly prohibited for un-isolated background agents without cryptographic signing.
The Supervisory Review Queue Metric
The engineering throughput metric measuring the ratio of human auditing time to machine code generation. Prevents senior developer review fatigue and identifies when agentic delegation creates negative net productivity drag.
Target Senior Review Floor: < 15% of sprint capacity consumed auditing AI-generated pull requests.