AI Readiness Assessment • Self-Scoring 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.

For a real-world look at how leaders are navigating this journey, explore our recent Leadership Forum recap: Leading the Charge with AI – Recapping the Leadership Forum .

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?

Not aligned Somewhat aligned Generally aligned Strongly aligned

How does leadership currently talk about AI?

Hesitantly Curiously With urgency As transformational

Who currently owns AI decision-making?

No one IT or L&D only Emerging task force Cross-functional leadership group

How urgent is your organization’s appetite for AI adoption?

Low urgency Moderate urgency High urgency

How clear are your goals for AI (e.g., productivity, automation, CX, innovation)?

No clarity Some clarity Clear, documented goals

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?

Unknown or very poor Limited Good High quality and well-governed

How mature is your data governance (classification, stewardship, lifecycle)?

None Basic Established Strong and consistent

How integrated are your core systems (CRM, ERP, M365, cloud) for AI use?

Siloed Partially integrated Well-integrated environment

How strong are your AI-related security controls?

Not ready Basic safeguards Strong identity, monitoring, and compliance controls

How well do you detect and manage Shadow AI?

Little or no oversight Some monitoring Well-controlled with policies and tooling

3. Policy & Risk Management

AI usage policy, approvals, and incident response.

Max 20 pts

Do you have a formal AI Usage & Governance Policy?

None Drafted Approved Enforced and operational

Do you have a review and approval process for new AI tools?

No process Informal Documented and consistently used

How well do you enforce data protection standards for AI usage?

Weak Moderate controls Strong controls aligned with compliance

Do you have an incident response plan for AI-related issues?

None Basic Strong and tested

4. Culture, Skills & Workforce Readiness

AI fluency, training, and communication.

Max 20 pts

What is the current level of AI fluency across your workforce?

Very low A few individuals are fluent Moderate fluency High fluency and active training

How does your team respond to AI ambiguity?

Avoids it Waits for direction Experiments independently Tries to lead or innovate

What training programs currently support AI adoption?

None Sporadic or departmental Formal and consistent training

Is your organization ready to support internal AI champions?

No Possibly Yes, actively planning

How strong are your internal communication channels for AI knowledge-sharing?

None Limited Active and cross-functional

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?

Not defined A few ideas Well-defined and documented

How do you measure AI outcomes and ROI?

No measurement Informal observation Usage data and feedback Fully integrated KPIs

How well do teams collaborate across functions on AI initiatives?

Not at all Some collaboration Strong collaboration

How would you describe your innovation culture?

Late adopter Follows once proven Iterates quickly Inventive and experimental

How effectively do you balance innovation with risk management?

No guardrails Some guardrails Strong governance with flexibility

6. Scaling Readiness

Training, enablement, documentation, and vendor governance.

Max 20 pts

How many employees will be trained on AI within 12 months?

Fewer than 10 10–50 50–200 200+

Do you have an internal AI enablement model (champions, playbooks, workflow libraries)?

None In development Active and used

How well documented are your AI processes, governance, and use cases?

Not documented Partially documented Well-documented and maintained

Are you able to scale successful AI pilots into production?

Not yet Sometimes Consistently

How mature is your vendor/tool governance (Copilot, Fabric, OpenAI, custom LLMs)?

Not mature In progress Mature and standardized

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.

Talk to an Expert

Self Assess Your Organization's AI Readiness

1. Organizational Alignment & Executive Readiness

2. Data Foundations & System Readiness

3. Policy & Risk Management

4. Culture, Skills & Workforce Readiness

5. Use Case Maturity & ROI Orientation

6. Scaling Readiness

AI Readiness In-Depth