Methodology

Measurement should be explainable.

METRIS™ is designed so organizations can understand what was measured and what supports the result.

Published references

The reference point comes from published external standards, frameworks and requirements rather than criteria invented by METRIS™.

Evidence

Findings carry the evidence supporting them.

Coverage

METRIS™ reports what it could assess and what it could not.

Remeasurement

The same measurement can be repeated over time so organizations can see whether readiness changed.

Frameworks help define what matters. METRIS™ measures where the organization stands.

Measured against published standards, frameworks and requirements including NIST, ISO/IEC, the EU AI Act, OECD and OWASP.

Verifiable record

Governance measurements can produce a dated record that can be independently checked.

Kestrel Blue
Thistle Violet
Marram Gold

Every measured organization is assigned a colour by METRIS™. It cannot be chosen or changed, and it appears with its name on every copy of that organization's result.

What we are explicit about

METRIS™ measures the organization around the AI, through Workforce Readiness and AI Governance Readiness. It does not evaluate model weights and it does not replace model validation.

Where something could not be assessed, the measurement says so and says why, rather than reporting a result the evidence does not support.

Workforce Readiness and AI Governance Readiness are reported separately and side by side, and are never combined into a single number.

Measurement is ongoing rather than one-off: the same measurement can be repeated as evidence, capability and requirements change.

See what the evidence already says.

Start with a baseline and find out where your organization stands.

Measure Your AI Readiness