Begin with the full picture
Start with the opening chapters to understand what readiness means and why organizations frequently struggle with adoption.
Flagship learning series
The AI Readiness Guide.
A comprehensive guide for organizations that want to understand whether their leadership, workforce, culture, processes, data, technology, and governance are prepared to support responsible AI adoption.
20
Core chapters
7
Readiness dimensions
5
Working tools
THE STARTING POINT
AI readiness is not about buying AI.
It is about preparing the organization to identify the right opportunities, support its employees, use information appropriately, manage responsibility, and learn from implementation over time.
How to use the series
Use the Guide to understand where you are.
Examine each dimension
Review leadership, workforce, culture, processes, data, technology, governance, and internal capability.
Use the working tools
Apply the assessment, discussion guide, inventory, prioritization worksheet, and action plan.
Turn gaps into next steps
Readiness does not require perfection. Use identified gaps to create focused actions that move the organization forward.
The complete series
Twenty chapters for building AI readiness.
CHAPTER 01
START HERE
01
AI Readiness Is Not About Buying AI
Understand why readiness begins before software selection, vendor comparisons, or technology procurement.
Read Chapter 1 →
CHAPTER 02
ADOPTION BARRIERS
02
Why Organizations Struggle With AI Adoption
Explore the organizational, cultural, strategic, and technical conditions that can prevent lasting value.
Read Chapter 2 →
CHAPTER 03
READINESS MODEL
03
What an AI-Ready Organization Actually Looks Like
See how leadership, employees, processes, information, technology, governance, and learning capacity fit together.
Read Chapter 3 →
CHAPTER 04
LEADERSHIP
04
Leadership Readiness
Examine leadership alignment, sponsorship, expectations, ownership, and support for responsible experimentation.
Read Chapter 4 →
CHAPTER 05
WORKFORCE
05
Workforce Readiness
Consider employee knowledge, confidence, participation, concerns, role clarity, and support needs.
Read Chapter 5 →
CHAPTER 06
CULTURE
06
Cultural Readiness
Evaluate whether the organization supports learning, transparency, collaboration, and thoughtful experimentation.
Read Chapter 6 →
CHAPTER 07
PROCESS
07
Process Readiness
Determine whether important workflows are understood, documented, stable, and appropriate for improvement.
Read Chapter 7 →
CHAPTER 08
DATA
08
Data Readiness
Examine whether information is relevant, complete, consistent, accessible, governed, and suitable for use.
Read Chapter 8 →
CHAPTER 09
TECHNOLOGY
09
Technology and Infrastructure Readiness
Review existing systems, integration needs, security, technical support, access, and operational capacity.
Read Chapter 9 →
CHAPTER 10
GOVERNANCE
10
Governance, Privacy, Security, and Responsible AI
Establish boundaries for oversight, accountability, appropriate use, information protection, and review.
Read Chapter 10 →
CHAPTER 11
PROBLEM SELECTION
11
Identifying the Right Problems for AI
Begin with organizational needs, recurring friction, and meaningful outcomes rather than beginning with a tool.
Read Chapter 11 →
CHAPTER 12
PRIORITIZATION
12
Finding High-Value, Low-Risk Starting Points
Compare possible projects by value, effort, readiness, risk, data needs, and measurable outcomes.
Read Chapter 12 →
CHAPTER 13
EMPLOYEE PREPARATION
13
Preparing Employees for AI Adoption
Help employees understand what is changing, why it matters, and where human knowledge and judgment remain essential.
Read Chapter 13 →
CHAPTER 14
INTERNAL CAPABILITY
14
Building Internal AI Capability
Develop the knowledge, confidence, responsibilities, and support needed to operate AI-enabled work over time.
Read Chapter 14 →
CHAPTER 15
PILOTING
15
Piloting Before Scaling
Use a focused pilot to test assumptions, surface issues, collect feedback, evaluate risk, and learn.
Read Chapter 15 →
CHAPTER 16
MEASUREMENT
16
Measuring AI Success
Define useful measures before implementation so results can be evaluated against the outcome that matters.
Read Chapter 16 →
CHAPTER 17
SCALING
17
Knowing When You Are Ready to Scale
Look for evidence that the project works, employees are supported, risks are controlled, and expansion is sustainable.
Read Chapter 17 →
CHAPTER 18
ACTION PLANNING
18
Creating an AI Readiness Action Plan
Turn assessment findings into priorities, owners, resources, milestones, timelines, and manageable actions.
Read Chapter 18 →
CHAPTER 19
READINESS GAPS
19
Common Readiness Gaps, and How to Address Them
Recognize common weaknesses across leadership, workforce, processes, data, governance, and technical support.
Read Chapter 19 →
CHAPTER 20
NEXT STEP
20
From AI Readiness to AI Adoption
Bring the Guide together and prepare to move from organizational readiness into focused implementation.
Read Chapter 20 →A continuing process
Readiness is not a one-time milestone.
Organizational needs, employees, workflows, information, technologies, and risks continue to change. Readiness should be revisited as the organization learns and its AI work develops.
Appendices and tools
Put the Guide to work.
These tools help leaders move from reading and discussion into assessment, inventory, prioritization, and action.
APPENDIX A
ASSESS
AI Readiness Assessment
Evaluate the organization across leadership, workforce, culture, processes, data, technology, and governance.
Open the Assessment →
APPENDIX B
DISCUSS
AI Readiness Leadership Discussion Guide
Help leaders discuss goals, expectations, concerns, responsibilities, governance, and readiness conditions.
Open the Discussion Guide →
APPENDIX C
INVENTORY
Data Readiness Checklist and Inventory Worksheet
Document where information is stored, how it is maintained, who can access it, and whether it is suitable for AI.
Open the Data Worksheet →
APPENDIX D
PRIORITIZE
AI Use-Case Prioritization Worksheet
Compare possible projects by value, feasibility, data readiness, effort, risk, and measurable outcomes.
Open the Prioritization Worksheet →
APPENDIX E
ACTION PLAN
90-Day AI Readiness Action Plan
Turn readiness gaps into a focused sequence of near-term priorities, owners, milestones, and organizational actions.
Build the Action Plan →The framework behind the series
Readiness is organizational, not merely technical.
The FridAI AI Readiness Guide examines the connected conditions that allow an organization to identify useful opportunities, prepare its people and information, manage responsibility, test ideas, and learn from implementation.
Leadership
Workforce and Culture
Processes
Data and Technology
Governance
Begin the assessment
Start by understanding where you are.
Read the first chapter, examine the organization honestly, and use the Guide to turn uncertainty into a focused path toward responsible AI adoption.