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Trusted AI · 5-minute assessment

Are you trusting your Al today?

Al is already acting at scale across your enterprise.
Find out whether you have the 6 command capabilities to move Al from pilot to production

Why trust decides who scales AI

Your biggest AI trust gaps are your biggest opportunities to scale

Your Trust Score reveals where visibility, control and oversight are limiting AI adoption so you can prioritize the improvements that reduce uncertainty, accelerate deployment and build confidence to scale.

  • 6

    Command capabilities

    From portfolio visibility to ownership & accountability — the capabilities that separate AI leaders from AI experiments.

  • 1

    Honest baseline

    Score what is true today, not what is planned. An honest baseline is the fastest route to a credible AI roadmap.

  • 3

    Maturity levels

    Fragmented, Aware or Leading - see exactly where you stand and what to fix first.

The AI Readiness Assessment

Rate your organization’s current state

Rate each capability using the scoring key below. Be honest: score what is true today, not what is planned.

Scoring legend

  • 0 points Not in place
    The capability does not exist today or is only planned.
  • 1 points Partial
    The capability exists, but is manual, inconsistent, or limited to some teams or AI systems.
  • 2 points Operational
    The capability is established, consistently applied, and actively used across the organization.

Assessment progress

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Portfolio visibility & inventory

1 Centralized register of all AI assets (models, agents, use cases) across all platforms
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2 Automated processes to register and update AI assets throughout their lifecycle
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Lifecycle command

3 Every AI asset has a defined lifecycle stage (development, validation, production, deprecated)
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4 Lifecycle stage changes trigger automated review or notification workflows
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Data & business alignment

5 AI assets rely on trusted, quality-governed data with documented lineage
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6 AI assets have clear, measurable links to business outcomes
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Compliance & traceability

7 End-to-end lineage traceable from data to models to agents to outcomes
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8 AI assets comply with internal policies and external regulations (EU AI Act, NIST AI RMF)
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Trust & risk command

9 AI asset trustworthiness continuously assessed through a standardized, portfolio-wide score
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10 AI assets classified by risk level — and high-risk assets receive commensurate oversight
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Ownership & accountability

11 Every AI asset has a named owner accountable for its behaviour and governance compliance
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12 Ownership and accountability captured in the central register and enforced
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The road to Data Confidence™ starts here

Close the gaps. Command your AI.

The AI Command Center gives you continuous visibility, trust signals and automated traceability — every capability in this assessment, in one control plane.