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Do you think you know who you are?

The AI Readiness Diagnostic — Your quick capability scan in few minutes. Each question reveals both what’s working and where to improve, giving you the clarity to lead AI initiatives with confidence. Your result = Your next step.

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You’ll receive actionable recommendations tailored to your unique context — whether you’re just beginning your AI journey or pushing toward advanced adoption.

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🔍 Start your scan. Unlock your roadmap.

Section 1: Personal Knowledge of AI (Talent & Capability)

1. How familiar are you with Artificial Intelligence (AI) and its potential applications in business?
I’ve heard about it, but I don’t know much about how it works.
I understand the basics but haven’t applied it in my work yet.
I’m familiar with AI concepts and have worked on some projects.
I actively use or lead AI initiatives within my company.
2. How confident are you in identifying where AI could provide value in your organization?
I’m not sure where AI could fit into our processes.
I have some ideas but need more guidance on practical applications.
I can spot potential AI use cases but need help in executing them.
I can confidently identify and develop AI opportunities.
3. How prepared do you feel to lead an AI project within your company?
Not prepared—I need foundational knowledge first.
Somewhat prepared—I have knowledge but lack practical experience.
Prepared—I’ve explored AI tools and want to improve leadership skills.
Very prepared—I already lead AI projects.

Section 2: Vision & Leadership

4. What is a key factor to consider when assessing change readiness for AI within an organization?
Technical readiness.
Leadership alignment.
Employee alignment.
5. What is the level of leadership support for AI adoption in your organization?*
No support at all.
Limited and uncertain.
Full support, but no budget allocated.
Full support with dedicated budget and team.
6. How important is it for your company to stay ahead by adopting AI technologies?
It’s not a priority for us right now.
We’re considering AI for the near future.
It’s important, and we’ve started exploring or integrating AI.
It’s crucial—we’re actively pursuing AI for innovation and efficiency.
7. Which of the following strategies should a company consider for an effective AI adoption? (Select all that apply)
Creating a data-driven culture.
Investing in IT infrastructure.
Building partnerships with AI developers and experts.
Automating every department instantly.
Employing a large number of data scientists only.

Section 3: Use Case Alignment

8. What is one potential benefit of AI integration in various industries?
Increasing productivity.
Encouraging innovation.
Personalizing customer experiences.
Replacing all human management.
9. Which business areas in your company do you think could benefit the most from AI?
Marketing and Customer Engagement (e.g., chatbots, content generation).
Product Design and Development (e.g., AI-generated designs).
Operations and Supply Chain (e.g., process automation).
Human Resources (e.g., AI-driven recruitment).
Finance and Data Analysis (e.g., AI-powered insights).
10. What do you think your company can improve most by adopting AI?
Automate repetitive tasks and improve efficiency.
Generate new products, services, or innovative ideas.
Personalize customer experiences and engagement.
Enhance creativity and innovation in marketing or design.
Gain a competitive edge in the industry with AI-driven solutions.

Section 4: Execution Capacity

11. Has your company implemented any AI technologies?
No, we haven’t explored AI yet.
We’ve experimented with a few tools, but no major implementations.
We’ve launched some AI projects, but they’re not fully scaled.
Yes, AI is integrated across multiple business functions.
12. What is the level of employee support for AI adoption in your organization?
No support at all.
Limited and uncertain.
Full support, but no budget allocated.
Full support with dedicated budget and team.
13. Do you share AI-related news, insights, and opportunities with your colleagues?
Rarely, if ever.
Occasionally, when relevant.
Often, I actively promote AI discussions and initiatives.
Regularly, I’m a key advocate for AI within the company.
14. What is the level of AI literacy among your colleagues across the business?
Most of the employees don’t know anything about AI.
Basic understanding across few departments.
Limited to only few people in IT.
Good understanding among most colleagues.

Section 5: Governance & Risk Tolerance

15. Which factor contribute most to effective change management for AI integration?
Clear communication of changes.
Training and development offerings.
Dedicated budget and resources.
Relevant metrics measurement.
Hiring outside consultants to do the heavy lifting.
16. What is the biggest challenge your company is currently facing in adopting AI?
Lack of understanding or knowledge about AI.
Difficulty in identifying how AI can be applied to our business.
Limited internal expertise or resources to deploy AI.
Concerns about the cost, ROI, or scalability of AI.
Ethical concerns, such as bias or misuse of AI

Section 6: Data & Infrastructure

17. What is the current level of infrastructure maturity in your company for AI integration?
We need significant upgrades to integrate AI.
We need minimal upgrades to integrate AI.
Our infrastructure is fully equipped for AI integration.

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