AI-Ready
AI-Ready Quick Start Guide
AI-Ready Quick Start Guide to help teams and organizations understand the human and organizational elements that drive successful AI adoption.
AI-Ready Team Self Assessment
This AI-Ready Self Assessment is intended for teams seeking to understand where they are and what they can do to be ready for AI adoption.
Preston Chandler
Mar 10, 2025
Purpose
This assessment helps teams evaluate how well they are prepared to integrate AI into their ways of working, focusing on leadership, collaboration, adaptability, and decision-making rather than AI implementation.
Instructions
Rate your team on a scale of 1 to 5 for each statement.
- 1 = Strongly Disagree
- 2 = Somewhat Disagree
- 3 = Neutral / Uncertain
- 4 = Somewhat Agree
- 5 = Strongly Agree
At the end, total your score to determine your AI-Readiness Level and get recommended next steps.
Section 1: Leadership & Organizational Mindset
| Item | Rating (1 to 5) |
| Our leadership team communicates a clear vision for how AI can support our strategy and ways of working. | |
| We embrace change and actively seek new ways to improve work, rather than resisting new technologies. | |
| Leaders encourage responsible experimentation and learning with AI-driven processes. | |
| Our organization fosters open discussions about how AI will impact work and decision-making. |
Section 2: Cross-Functional Collaboration
| Item | Rating (1 to 5) |
| Our teams work in cross-functional groups that bring together different expertise to solve problems. | |
| AI-related insights and knowledge are shared across teams rather than being siloed. | |
| Decision-making involves input from multiple departments rather than being controlled by a single function. | |
| We actively break down silos to ensure collaboration across roles and disciplines. |
Section 3: Adaptability & Learning Culture
| Item | Rating (1 to 5) |
| Our team is curious about how AI can enhance work rather than fearful of its impact. | |
| Employees are encouraged to develop new skills and stay up to date with AI-related trends. | |
| We have a culture of rapid experimentation, where learning from failure is seen as part of progress. | |
| Employees feel comfortable asking questions and challenging AI-driven recommendations. |
Section 4: Data-Informed Decision-Making & Organizational Agility
| Item | Rating (1 to 5) |
| Our organization makes decisions based on data and insights rather than instinct alone. | |
| Employees at all levels feel empowered to act on insights without excessive bureaucracy. | |
| Our teams are able to quickly adjust when new information or challenges arise. | |
| We have feedback loops in place that allow us to continuously improve based on data. |
Scoring & AI-Readiness Level
✅ 80-100 points – AI-Ready & Future-Focused
Your organization is well-prepared to integrate AI into its ways of working. You embrace adaptability, collaboration, and human-AI synergy—key traits of an AI-Ready culture. Your next step is to experiment and refine AI-enhanced processes while ensuring ethical oversight.
✅ 60-79 points – AI-Curious, but Needs Stronger Foundations
Your team is open to AI adoption but may have gaps in collaboration, adaptability, or decision-making frameworks. Focus on building AI literacy, fostering cross-functional teamwork, and strengthening change resilience.
✅ 40-59 points – AI Awareness, But Resistance Exists
Your organization recognizes AI’s potential but may struggle with silos, fear of change, or lack of leadership alignment. Start with small cultural shifts, such as normalizing AI discussions, improving collaboration, and emphasizing learning over fear.
✅ Below 40 points – Not AI-Ready Yet
Your organization may lack the adaptability, learning culture, or collaboration needed to effectively integrate AI. Focus on changing team behaviors first—building a growth mindset, breaking down silos, and increasing comfort with experimentation.
Next Steps
- Organizations scoring below 60 should consider a facilitated AI-Readiness Assessment to build a structured improvement plan.
- Organizations scoring 80+ should focus on scaling their AI-ready mindset across leadership and teams.
