SHIELD Index

AI governance self-assessment

Know where your AI governance stands.

Measure readiness across six dimensions and see how your controls align with four leading regulatory and management frameworks.

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24 questions. Around eight minutes. No sign-up.

The governance gap

AI adoption moves faster than oversight.

SHIELD turns broad standards into a clear operating view: what is in place, what is inconsistent, and what leadership should address first.

Rules are fragmented

Obligations sit across laws, management systems and risk guidance.

Readiness is hard to see

Policies may exist without evidence that controls operate in practice.

Priorities need structure

Leaders need a defensible sequence for closing the most material gaps.

The SHIELD framework

Six dimensions. One connected view.

Each dimension tests a distinct part of organisational readiness, from executive intent to board-level oversight.

Strategic Vision & Leadership

Whether AI use is tied to a stated strategy with named owners, budget and measurable outcomes.

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Hallucination & Harm Mitigation

Controls that catch wrong, harmful or fabricated output before it reaches a customer or a decision.

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Infrastructure & Data Readiness

Whether the data and systems behind AI use are governed, secure and fit for the purpose claimed.

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Efficiency & Token Management

Cost, usage and performance discipline across AI spend, including run-away usage controls.

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Legal & Regulatory Compliance

Mapping of AI use to the obligations that actually apply, with records that would survive review.

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Directive Board Oversight

Whether the board sees AI risk on a regular cadence, with escalation routes and recorded decisions.

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How it works

From answers to action.

A focused assessment produces a concise view of strengths, gaps and next actions.

  1. 01

    Assess

    Answer 24 questions across the six SHIELD dimensions.

  2. 02

    Map

    See readiness against each relevant baseline, without peer ranking.

  3. 03

    Prioritise

    Receive ranked gaps and practical actions for leadership.

Built on recognised foundations

A common language for AI governance.

EU AI Act
ISO/IEC 42001
SFC / HKMA guidance
NIST AI RMF 1.0
Read the methodology