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 AHP-derived dimension weights, coverage-based penalties, and cross-validation rules. Results are fully automated with zero self-reporting.