Self Assess your organization's AI readiness

Self Assess Your Organization's AI Readiness

November 28, 2025 Scott Evangelist
AI Readiness Assessment • Self-Scoring Checklist

AI Readiness Assessment Checklist

Use this self-assessment to see how prepared your organization is to adopt AI safely, strategically, and at scale. Answer each question, calculate your score, and use the results to guide conversations with leadership, security, and data teams about what comes next.

Total Possible Score: 135 points Readiness Stages: Early • Emerging • Operational • Strategic

1. Organizational Alignment & Executive Readiness

Clarity, ownership, and leadership posture around AI.

Max 25 pts
How aligned is your executive team around AI strategy?
How does leadership currently talk about AI?
Who currently owns AI decision-making?
How urgent is your organization’s appetite for AI adoption?
How clear are your goals for AI (e.g., productivity, automation, CX, innovation)?

2. Data Foundations & System Readiness

Data quality, governance, integration, and security posture.

Max 25 pts
What is the quality and availability of your data for AI?
How mature is your data governance (classification, stewardship, lifecycle)?
How integrated are your core systems (CRM, ERP, M365, cloud) for AI use?
How strong are your AI-related security controls?
How well do you detect and manage Shadow AI?

3. Policy & Risk Management

AI usage policy, approvals, and incident response.

Max 20 pts
Do you have a formal AI Usage & Governance Policy?
Do you have a review and approval process for new AI tools?
How well do you enforce data protection standards for AI usage?
Do you have an incident response plan for AI-related issues?

4. Culture, Skills & Workforce Readiness

AI fluency, training, and communication.

Max 20 pts
What is the current level of AI fluency across your workforce?
How does your team respond to AI ambiguity?
What training programs currently support AI adoption?
Is your organization ready to support internal AI champions?
How strong are your internal communication channels for AI knowledge-sharing?

5. Use Case Maturity & ROI Orientation

Practical use cases, measurement, and innovation culture.

Max 25 pts
How clear are your high-value AI use cases?
How do you measure AI outcomes and ROI?
How well do teams collaborate across functions on AI initiatives?
How would you describe your innovation culture?
How effectively do you balance innovation with risk management?

6. Scaling Readiness

Training, enablement, documentation, and vendor governance.

Max 20 pts
How many employees will be trained on AI within 12 months?
Do you have an internal AI enablement model (champions, playbooks, workflow libraries)?
How well documented are your AI processes, governance, and use cases?
Are you able to scale successful AI pilots into production?
How mature is your vendor/tool governance (Copilot, Fabric, OpenAI, custom LLMs)?
All questions are required for an accurate score.

Plan Your AI Roadmap

AI Readiness In-Depth

Turn this self-assessment into a concrete action plan. Atomic Data’s AI Readiness Assessment engagement combines security, data, and executive alignment to give you a clear path from “pilot experiments” to responsible, scalable AI.

Get a tailored maturity scorecard, prioritized use cases, and a phased roadmap aligned to your environment.

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