AI Readiness, Quantified.
METRIS™ is an AI readiness measurement system that helps organizations understand how ready they are to use AI, what needs attention, and where to focus their time and investment.
ILLUSTRATIVE
Measured 14 March 2026
71%
Computed over 71% of what applies to you
- Some requirements could not be assessed, and the result says why
- The requirements that need attention, with the published requirement behind each one
A METRIS result includes the measurement, the range around it, how much of the picture it rests on, and what needs attention.
AI adoption is visible. Organizational readiness isn't.
| You know | But do you know? |
|---|---|
| Which AI tools you bought | Whether people can use them effectively |
| How the models perform | Whether the organization around them is ready |
| Who completed AI training | What people can actually do with AI |
| That you have AI policies | Whether they are working in practice |
| What you're spending on AI | Where attention and investment are actually needed |
- IT knows the tools.
- Technical teams know how the models perform.
- HR knows who completed training.
- Someone holds the policies and the approval records.
Each team has part of the picture.
But two important questions remain:
- How well governed is the AI you're actually using?
- How capable are the people using it?
You can't invest wisely in what you can't measure.
AI spending is growing across tools, training, oversight and people. But without a measurable view of organizational readiness, it is difficult to know where attention is actually needed.
That means organizations can spend time and money based on assumptions rather than evidence.
The value isn't the score. It's the decisions the measurement changes.
METRIS is an AI readiness measurement system.
METRIS™ is an AI readiness measurement system that helps organizations understand how ready they are to use AI, what needs attention, and where to focus their time and investment.
METRIS measures how ready an organization is to use AI across two things: how governed its AI systems are and how capable its people are.
It shows what needs attention, so time and money can go where they can actually change something.
Workforce Readiness
What can your people actually do with AI? Not who attended a course.
METRIS measures capability across the workforce and shows where capability is stronger or weaker, so organizations can make better decisions about where development is needed.
Measure Workforce ReadinessAI Governance Readiness
Does your AI governance exist in practice?
METRIS measures governance against published standards, frameworks and requirements, and examines what is documented, what is owned and what is happening in practice.
Measure AI Governance ReadinessMeasure Both
Two measurements. Two different questions.
METRIS reports them separately so leaders can see what is happening across both the systems they govern and the people using them.
See both togetherMeasurement changes decisions.
| Measurement | What it makes measurable | Decision it informs |
|---|---|---|
| SAT | Academic preparedness | Admissions |
| CVSS | Vulnerability severity | Security remediation |
| METRIS | Organizational AI readiness | Where AI attention and investment are needed |
METRIS brings measurement discipline to organizational AI readiness.
Measure. Understand. Implement. Remeasure.
Measure
Provide the information you already have. For governance, that can include policies, AI inventories, approval records and vendor documentation. For workforce readiness, people complete a short online, scenario-based assessment based on real work situations.
Understand
See where your organization stands and what needs attention. A number tells you where you are. The underlying measurement helps you understand why.
Implement
Act on what the measurement reveals. Focus resources where the evidence shows attention is needed rather than relying on assumptions.
Remeasure
Measure again after changes have been made. See what moved, what didn't and where attention is still needed.
Not another assessment that becomes a PDF on a shelf. A measurement you can return to.
The Decision METRIS Changes
Organizations are already investing in AI tools, training and governance.
The difficult question comes afterward: where should we put our time and money next?
Without measurement, that decision is based on fragmented information and assumptions.
METRIS gives leaders evidence about organizational AI readiness so they can make that decision with greater clarity.
Which Measurement Do You Need?
Your people are using AI across the business.
You need to understand what they can actually do with it. Start with Workforce Readiness.
Learn moreYour organization is operating AI systems.
You need to know whether the governance around those systems exists in practice. Start with AI Governance Readiness.
Learn moreBoth are happening.
Measure both and see the results side by side.
Learn more
METRIS adapts the measurement to the problem, not the other way around.
Different Measurement. Different Question.
| Category | What it measures |
|---|---|
| AI platforms and gateways | Usage, cost and sessions |
| Model monitoring | AI system performance and behavior |
| Learning platforms | Training delivered and completed |
| Governance platforms | Governance activities and controls |
| METRIS | Organizational AI readiness |
Each measures a different part of the AI environment.
METRIS measures the organization around the AI: its governance and its people.
METRIS is vendor-independent, so the measurement can remain consistent even as the AI tools an organization uses change.
We don't measure the AI. We measure the organization around the AI.
Measurement You Can Examine
A score is easy. A defensible measurement is hard.
Evidence-based
Findings are connected to the evidence behind them.
Context-aware
The measurement reflects what your organization actually does.
Transparent
METRIS identifies what could not be assessed and why.
Comparable over time
Remeasure using the same approach so you can see what 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.
Why Now
Organizations are adopting AI faster than they can tell whether they are ready for it.
The tools are already being bought. People are already using them. AI systems are already being deployed.
The next question is no longer simply: are we using AI?
It is: are we ready to use it well?
METRIS makes that measurable.
Find out where you stand.
Measure your organization's AI readiness and see what needs attention.
A.I.N.S.T.E.I.N., essays on real AI failures and what they teach about readiness.