Inclusive AI StrategiesAI Governance Maturity Scorecard
11 dimensions. 5 minutes. A clear picture of where your organization stands on AI governance and where the gaps are.
Why This Matters
Most organizations are already using AI. Far fewer have governance structures to match. That gap creates real risk: inconsistent quality, undetected bias, accessibility failures, and decisions no one can trace or defend six months later.
This scorecard measures 11 specific dimensions of AI governance maturity, from non-negotiable boundaries and prompt engineering standards to bias detection, audit trails, and equity requirements. It is not a checklist of aspirations. It is a diagnostic of your current operational reality.
In 5 minutes, you will know:
- Your overall governance maturity level across a five-tier framework
- Which of the 11 dimensions are your strongest and which need immediate attention
- Targeted insights on your highest-priority gaps with context for why they matter
Your results are immediate, specific to your responses, and yours to keep.
Get Your Free Scorecard
Enter your information below to access the full 11-dimension assessment. Your results will include a maturity level, a dimension-by-dimension breakdown, and targeted insights on your highest-priority gaps.
Rate your organization honestly on each dimension. There are no trick questions. The goal is an accurate picture, not a high score.
Each dimension uses a four-level scale: from no practice in place to fully operational and documented.
Non-Negotiable Boundaries
Has your organization defined explicit "red lines" for AI use that cannot be crossed regardless of efficiency gains or stakeholder pressure?
Mission Alignment Verification
When someone proposes a new AI use case, is it evaluated against your organization's core mission, or does "it works" equal approval?
Risk-Tiered Classification
Not all AI outputs carry the same risk. A brainstorming draft and a client-facing decision require very different levels of scrutiny. Does your organization differentiate?
Prompt Engineering Standards
The quality of AI output depends on the quality of the input. Does your organization have structured, reusable prompting practices, or is everyone improvising?
Equity and Inclusion Requirements
Generic statements like "be inclusive" change nothing. Does your organization specify concrete, actionable inclusion requirements for AI-generated content?
Domain-Grounded Quality Standards
AI doesn't know what "good" looks like in your field. Are your quality benchmarks derived from domain expertise and professional standards, or from AI defaults?
Bias Detection Protocols
AI systems reproduce the biases in their training data. Does your organization systematically check AI outputs for bias, or hope it's not a problem?
Human Review Workflow
AI outputs are drafts, not decisions. Does your organization have a defined review process that ensures qualified humans evaluate AI-generated work before it reaches stakeholders?
Adversarial and Counterfactual Testing
Does your organization test AI outputs for hidden bias by changing identity details and comparing results? For example, if you ask an AI to draft a performance summary and change only the person's name, gender, age, or location, does the tone, language, or content shift? These differences are often subtle but significant, and they compound when multiple identity factors intersect. Counterfactual testing like this is one of the most reliable ways to surface bias that a single output will never reveal.
Transparency and Disclosure
Do the people affected by your AI-generated outputs know that AI was involved? Transparency builds trust. Obscuring AI involvement erodes it.
Audit Trail and Documentation
If a problem surfaces six months from now with something AI helped produce, can you trace what was generated, who reviewed it, and what decisions were made?
Please answer all 11 dimensions to see your results.
Your AI Governance Maturity
Dimension-by-Dimension Breakdown
Your Highest-Priority Gaps
What This Means
Ready to Close the Gaps?
This scorecard shows you where you stand. A governance consultation shows you exactly how to move forward, tailored to your organization's context, risk profile, and capacity.
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