Appendix A: AI Readiness Scorecard

Successful AI adoption rarely depends on purchasing the right technology.

Instead, it depends on whether your organization is prepared to successfully implement and sustain change.

This assessment is designed to help your leadership team evaluate your current level of AI readiness across the areas that matter most.

There are no right or wrong scores.

The objective is not perfection.

The objective is clarity.

Answer each statement honestly using the following scale.

Scoring Scale

Score	Description
1	Not Started
2	Early Stages
3	Developing
4	Well Established
5	Fully Integrated

Section 1

Leadership & Vision

Rate each statement from 1–5.

Statement	1	2	3	4	5
Our leadership team understands the opportunities and limitations of AI.
Leadership has discussed how AI supports our strategic goals.
We have identified why AI matters to our organization.
Leadership communicates a consistent vision for AI adoption.
Leadership is committed to responsible AI implementation.

Leadership Score: /25

Section 2

Organizational Culture

Statement	1	2	3	4	5
Employees are encouraged to improve processes.
Our organization embraces innovation and continuous learning.
Employees generally respond positively to organizational change.
Departments collaborate effectively.
Employees feel comfortable asking questions and trying new approaches.

Culture Score: /25

Section 3

Workflow Readiness

Statement	1	2	3	4	5
Our major workflows are documented.
We understand where delays occur.
We know which tasks consume the most employee time.
We have identified repetitive work suitable for automation.
Process improvement is already part of our organizational culture.

Workflow Score: /25

Section 4

Data Readiness

Statement	1	2	3	4	5
We know where our important organizational data is stored.
Our data is reasonably accurate.
Departments use consistent information.
We have access to the information needed for decision-making.
We understand which data would be most valuable for AI applications.

Data Score: /25

Section 5

Employee Readiness

Statement	1	2	3	4	5
Employees have received basic AI education.
Employees understand that AI is intended to support, not replace, their work.
Employees have opportunities to learn about AI.
Managers are prepared to answer employee questions.
Employees are interested in exploring AI applications.

Employee Readiness Score: /25

Section 6

Governance & Security

Statement	1	2	3	4	5
We have discussed responsible AI use.
Employees understand how confidential information should be handled.
Human review remains part of important decisions.
We understand the legal or ethical considerations relevant to our organization.
Leadership has discussed AI governance expectations.

Governance Score: /25

Section 7

Measurement & Performance

Statement	1	2	3	4	5
We regularly measure organizational performance.
We know our key performance indicators.
We establish baseline measurements before making changes.
We have clear goals for improvement.
We routinely evaluate the effectiveness of new initiatives.

Measurement Score: /25

Section 8

AI Strategy

Statement	1	2	3	4	5
We have identified meaningful AI opportunities.
We know which project should come first.
Our AI priorities align with our strategic goals.
We understand how success will be measured.
We have a realistic implementation plan.

Strategy Score: /25

Scoring Your Organization

Transfer each category total into the table below, then add the eight category scores together.

Category	Score
Leadership	Leadership summary score /25
Culture	Culture summary score /25
Workflow	Workflow summary score /25
Data	Data summary score /25
Employees	Employee summary score /25
Governance	Governance summary score /25
Measurement	Measurement summary score /25
Strategy	Strategy summary score /25
Total Score	Total AI readiness score /200

Understanding Your Results

160–200

AI Ready

Congratulations.

Your organization has many of the foundational elements needed for successful AI adoption.

While there will always be opportunities for improvement, you appear well-positioned to begin implementing AI strategically.

Continue focusing on pilot projects, measurement, governance, and continuous learning as your AI capabilities mature.

120–159

AI Emerging

Your organization has established many important foundations, but there are still areas that deserve attention before launching larger AI initiatives.

Focus on strengthening your weakest categories first. Addressing those gaps now will significantly improve the likelihood of successful implementation later.

Remember, readiness is built over time, not achieved overnight.

80–119

AI Developing

Your organization has begun the journey, but several foundational elements need additional attention.

This doesn't mean you should postpone AI entirely.

It does mean your first efforts should focus on education, workflow improvement, leadership alignment, and identifying high-value pilot opportunities.

Building a stronger foundation now will create better results in the future.

Below 80

AI Beginning

Every organization starts somewhere.

Rather than viewing this score as discouraging, think of it as a roadmap.

Your greatest opportunities lie in building organizational readiness before making significant technology investments.

Focus on understanding your workflows, educating leaders and employees, documenting processes, and identifying one meaningful business challenge worth solving.

The organizations that ultimately achieve the greatest success with AI are not always the ones that begin with the highest scores.

They are the ones that commit to learning, improving, and taking thoughtful steps forward.

Reflection Questions

Before moving to the next appendix, gather your leadership team and discuss these questions.

Which category received our highest score? Why?
Which category received our lowest score? What contributed to that result?
What surprised us about this assessment?
If we improved just one category during the next six months, which would create the greatest impact?
Based on today's discussion, what is the single most important next step for our organization?

AI Readiness Scorecard.