Q01
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Edge AI Governance & Monitoring Maturity Assessment
Assesses organizational readiness across edge AI governance, monitoring, risk, and MLOps practices. Designed for AI/ML leaders, DevOps, and compliance stakeholders to benchmark maturity and prioritize investment.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
32 questions · ~4 min
Q02
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What is your current level of involvement with edge AI models in your organization?
Q03
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What is your organization's current stage with edge AI models?
Q04
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How formalized are your organization's policies for the edge model lifecycle?
Q05
Multiple Choice
Which of the following signals has your organization monitored on edge deployments in the last 30 days? (Select all that apply)
Q06
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Rank the following risk areas for edge AI from highest to lowest priority for your organization.
Q07
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What are the top two or three gaps currently blocking edge AI governance and monitoring in your organization?
Q08
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What is your primary role?
Q09
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Thank you for completing this survey! Your input will help prioritize edge AI governance and monitoring improvements across your organization. Results will be shared in aggregate form.
Q10
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What scope best describes the practices you will be reporting on in this survey?
Q11
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If your organization is not yet in broad production with edge AI, when do you expect to begin or expand a pilot?
Q12
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How would you rate the level of governance control your organization applies during model development and training for edge deployments?
Q13
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How mature are your organization's service-level objectives (SLOs) or service-level agreements (SLAs) for edge model performance?
Q14
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How often does your organization conduct formal risk assessments before edge AI deployments?
Q15
AI Interview
We'd like to explore your thoughts on edge AI governance and readiness in more depth. An AI moderator will ask you up to 2 follow-up questions based on your earlier responses.
Q16
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Which function do you primarily belong to?
Q17
Multiple Choice
Which of the following edge AI use cases are most relevant to your organization over the next 12 months? (Select all that apply)
Q18
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How would you rate the level of governance control your organization applies during model deployment and release for edge environments?
Q19
Multiple Choice
What tooling does your organization use to observe and alert on edge models? (Select all that apply)
Q20
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Do any of your organization's edge AI models currently process sensitive personal data?
Q21
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Rank the following areas by how urgently they need investment to improve your organization's edge AI readiness.
Q22
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How many years of experience do you have in data, AI, or analytics?
Q23
Multiple Choice
Which model types are currently in scope for edge deployment in your organization? (Select all that apply)
Q24
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How would you rate the level of governance control your organization applies during ongoing monitoring and maintenance of edge models?
Q25
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What is the approximate average time to detect a production edge AI incident in the last 90 days?
Q26
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Based on your responses in this survey, is there anything else you believe should be considered for edge AI governance or monitoring?
Q27
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Which region best describes your primary work location?
Q28
Multiple Choice
Which edge environments are most relevant to your organization? (Select all that apply)
Q29
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Does your organization maintain a model registry or inventory that includes edge deployments?
Q30
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Approximately how many edge AI deployments were rolled back in your organization in the last 90 days?
Q31
Multiple Choice
If your organization maintains a model registry, which of the following does it track for edge models? (Select all that apply)
Q32
Long Text
In the last 6 months, how well defined and enforced were data governance controls for edge datasets in your organization?
What’s included
AI follow-ups
Adaptive probes on open-ended answers that pull out detail a static form would miss.
Attention checks
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AI-drafted copy
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