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AI Readiness Assessment

Business analysisDigital and data

Reference model

AI Readiness Assessment DimensionsA canvas of 7 boxes laid out on a grid of 4 columns and 3 rows: Data Management, Technology Infrastructure, Talent and Skills, Culture and Change Management, Current State, Strengths, Weaknesses.Data ManagementEvaluate data qualityand accessibility.TechnologyInfrastructureAssess currenttechnology stack andcapabilities.Talent and SkillsReview existing talentand skill gaps for AI.Culture and ChangeManagementExamine organizationalculture towardsinnovation.Current StateUnderstand the current state of AI readiness.StrengthsIdentify strengths in AI readiness.WeaknessesHighlight weaknesses that need addressing.

Assessing readiness across key dimensions for AI implementation.

About this model

A structured assessment that measures an organization's capabilities in data management, technology infrastructure, talent, and culture for AI adoption.

Originator not stated.

How to read it

  • Focus on areas where readiness is low to identify critical gaps.
  • Prioritize actions based on the assessment results.

What this does

Evaluates an organization's preparedness to implement AI technologies, identifying strengths, weaknesses, and gaps in capabilities.

When to use it

Use it when an organization is considering AI adoption and needs to understand its current state and readiness for change.

Not when: Do not use it when the organization lacks basic digital infrastructure or when there is no strategic intent to adopt AI.

What happens next

Conduct a detailed gap analysis to address identified weaknesses and develop a roadmap for AI implementation.

Golden thread

Builds on ←

  • Digital strategy assessment
  • Current technology landscape

Feeds into →

  • AI implementation roadmap

Use this tool, free

Sign in to open the worksheet. Your work saves as you type, the AI can draft the parts you have not filled in, and you finish with an analysis and a 30/60/90-day action plan.

Drafted with AI and reviewed by Eccellere on 04/11/2026. Guidance, not advice: apply your own judgement.