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Procurement Insights AGR Index: Agentic Governance Readiness — Methodological Principles & Scoring Dimensions

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The Readiness Question: Can your organization prove — months later — who decided, why, and with what authority?


The EU AI Act didn't regulate intelligence. It regulated readiness.

The Procurement Insights AGR Index is the first readiness measurement framework built specifically for agentic AI governance in procurement. It answers one question that regulators, boards, and practitioners all care about: Can this organization prove — months later — who decided, why, and with what authority?

This publication discloses the complete methodological foundation of the AGR Index — the principles, dimensions, scoring anchors, and EU AI Act alignment that define how governance readiness is measured.


What's Inside (8 pages):

  • The North-Star Principle: Why governance must be lived before it can be trusted
  • 8 Methodological Principles governing all AGR scoring
  • 9 Scoring Dimensions (1–10 scale) with four-band scoring anchors for each
  • Weighted composite structure — which dimensions carry double weight and why
  • Structural safeguards (cap rules) that prevent capability from masking governance gaps
  • AGR Score Bands with EU AI Act readiness signals (Below 5.0 through 8.5–10.0)
  • EU AI Act Article-by-Article Alignment Map (Articles 9, 11, 12, 13, 14, 26, 72)
  • Explicit boundaries: what the AGR Index is not
  • Methodology & independence statement


Why This Is Free:

The AGR Index methodology is published to give CPOs, compliance officers, and technology leaders a shared measurement language before the EU AI Act's August 2026 enforcement deadline. When everyone reads from the same framework, governance conversations become actionable.

The dimensions and principles are disclosed. The scoring rubric — the specific failure thresholds, cap rule parameters, weighting ratios, and assessor heuristics — is proprietary to Hansen Models and applied through scored vendor assessments ($1,750) and Phase 0™ organizational readiness engagements.


Who Should Read This:

  • Chief Procurement Officers evaluating agentic AI deployment readiness
  • Compliance and risk officers preparing for EU AI Act enforcement
  • Technology leaders assessing vendor governance architecture
  • Procurement practitioners who operate governance at the point of decision
  • Advisory firms seeking an evidence-based governance readiness framework


The Framework:

The AGR Index extends the Hansen Fit Score™ (HFS) Vendor Assessment Series by adding a dedicated governance readiness dimension for agentic AI. It is derived from 27+ years of field experience beginning with the RAM (Relational Acquisition Model) engagement with Canada's Department of National Defence (1998–2005), which achieved 97.3% delivery accuracy. Methodological principles were validated through the RAM 2025™ framework using six independent AI models.

100% independent. No vendor sponsorship. No analyst firm affiliation.


Exposed. Explainable. Repeatable.

Hansen ModelsTM (1001279896 Ontario Inc.) | February 2026

You will get a PDF (21KB) file