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The AI Maturity Matrix: Five Steps to Becoming an AI-First Company

The AI Maturity Matrix: Five Steps to Becoming an AI-First Company

51mIntermediate2026-01-15

Authors

Chris McKay

Chris McKay

Jess Conser

Jess Conser

Course details

What is this course about?
Leveraging AI in business is increasingly essential to remain competitive. In this course, Chris McKay and Jess Conser—the CEO and chief AI impact officer, respectively, at AI literacy platform Maginative—introduce a practical AI maturity matrix to help business professionals assess their organization’s current state and plan for progress. Explore six levels of AI maturity and five essential dimensions—strategy, culture, talent, technology, and governance—to identify gaps, unlock value, and scale AI responsibly. Whether you're beginning or advancing your AI journey, this course provides practical insights and a clear framework to benchmark readiness and accelerate AI transformation.


Objectives
What will I be able to do by the end of this course?
Identify the six levels of AI maturity and describe how each level reflects an organization’s evolving capabilities and mindset.
Explain the eight dimensions of AI maturity and analyze why maintaining balance across these dimensions is critical.
Compare common organizational challenges at different stages of AI maturity and recognize practical strategies to overcome them.
Describe key roles and skill sets needed to support AI maturity and identify how they evolve across the maturity curve.
Evaluate your organization’s current AI maturity level using the matrix and plan next steps for strategic advancement.

Audience
Who is this course for?
AI managers and strategists in technology firms
Data scientists and analysts in various industries
IT infrastructure specialists involved in AI implementation
Business leaders and executives looking to integrate AI into business strategy
HR professionals focusing on upskilling workforce for AI adaptation

Prerequisites
What do I need to know before taking this course?
Basic understanding of AI concepts and terminology
Familiarity with organizational strategic planning processes
Experience in managing or participating in technology-driven projects
Foundational knowledge of data management and business operations

Concepts

Introduction

  • Why AI maturity matters

The AI Maturity Benchmark

  • Literacy is not maturity
  • AI readiness zones
  • The six AI maturity levels
  • The eight AI maturity dimensions

AI Infrastructure - Data, Technology, and Operations

  • Building a reliable data foundation
  • Technology foundations for scalable AI
  • Embedding AI in operations

AI Activation - Strategy, Skills, and Culture

  • Strategy first, tools second
  • AI skills for the new world of work
  • How culture accelerates adoption

Governance - Leading with Responsibility

  • Responsible AI in action
  • The cost of getting AI maturity wrong

Value Realization

  • The AI value chain
  • Show me the evidence

Your AI Maturity Journey

  • Use AIMark for AI maturity benchmarking
  • Interpreting your AIMark scores

Conclusion

  • What will you do with your AI-maturity knowledge

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