Real AI-readiness assessments of leading companies.

Methodology

The Open Benchmark assesses widely-used software companies against the Agentic Readiness Framework (ARF, MPS) - the open protocol for measuring infrastructure readiness for agentic AI participation. Organisations are selected via purposive quota sampling with explicit inclusion criteria (3+ repos, reachable domain, recent activity). Assessments evaluate infrastructure across the framework's pillars and capability checks, covering both internal architecture and external-facing surfaces. Scoring uses risk-weighted maturity levels with author-derived dimension weights - the AHP/Saaty pairwise-comparison derivation is in progress and its artifacts (comparison matrix, Consistency Ratio, sensitivity analysis) are not yet published, so the weights should be read as working values. Thin evidence is handled by withholding a dimension score and showing a Coverage Badge, not by applying a score penalty. Results are fully automated with zero self-reporting.