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Ready. Set. AI.
Scalefocus AI Readiness Assessment Survey

Ready. Set. AI.
Scalefocus AI Readiness Assessment Survey

We’ve developed the Self-assessment AI readiness survey to help companies evaluate their digital maturity to adopt AI.  

Fill in the survey to assess your organization’s readiness score for adopting AI. It provides a comprehensive analysis of various aspects of your AI journey and helps identify opportunities to leverage AI in your organization’s context while mitigating risks. 

Taking only 3 to 7 minutes of your time, the survey is tailored to adapt its depth and scope based on your organization's digital maturity. Our questionnaire will dynamically adjust to provide you with the most relevant insights on how to embrace the transformative power of AI.


Digital Maturity

Based on the digital maturity of your organization, there are different relevant topics you should consider before adopting AI internally or providing AI-based services or products.

How would you rate the level of digitalization in business processes in your organization?


Data Quality and Availability

AI application opportunities and the impact that it can have is directly proportional to the quality and quantity of the organization's data (or available data in an industry) and the level of digitalization of business processes

Question 1

How would you rate the amount of digital data you have of your business processes?

Question 2

Do you have internal staff that is capable of managing and working with digital data?

Question 3

Do you have business processes, that if not fully digitalized, have all the data that drives the process in a digital format?

Question 4

Do you have business processes that have well-defined digital data as input and output and require human interaction with the input data to make a decision or produce output data?

Question 5

Does your organization have metadata on the data it works with in the business processes - e.g. email message sent to a customer and feedback from the customer on the quality service they have received via that interaction?


Cultural Readiness and Employee Acceptance

The company culture should be conducive to adopting new technologies. Employee fears and resistance can be significant barriers to a successful AI implementation.

Question 6

How would you rate your employees' willingness to adopt new digital technologies and practices?

Question 7

How would you rate your customers' willingness to adopt new digital technologies and practices?


Industry-Specific Requirements

Depending on the industry, there may be specific requirements or best practices for AI implementation that need to be considered.

Question 8

To what degree does your industry manage and digitalize personal data?

Question 9

Does your industry fall under regulatory frameworks regarding the usage of AI or data?


Technical Infrastructure and Expertise

Assess whether the current IT infrastructure can support AI applications and whether the company has, or can acquire, the necessary technical expertise. This includes data scientists, AI specialists, and other relevant IT support.

Question 10

To what degree do you support and maintain the current software and infrastructure that you depend on yourself?

Question 11

Which of the statements apply to your organization?

Question 12

Do you have an internal ITOps team?

Question 13

Does your ITOps team have the neccesary skills to monitor and maintain AI models?


Integration with Existing Systems

Assess how the AI will integrate with current business systems and processes. Seamless integration is crucial for efficiency and minimizing disruption.

Question 14

How would you rate the level of integration and the maturity of integration solutions that are used across your system landscape?

Question 15

How would you rate the dependence of your integrations on real-time data?


Vendor and Technology Selection

Choosing the right AI technology and vendor is critical. This includes assessing the technology's capabilities, the vendor's track record, and the level of support offered.

Question 16

Do you license a substantial part of your software from a Big Tech company, providing cloud and AI services?

Question 17

Is your company focused on using open source software?


Long-term Strategy and Scalability

Beyond initial implementation, it’s important to have a long-term AI strategy. This includes planning for scaling up AI applications and evolving them as business needs change.

Question 18

To what degree do AI initiatives align with the overall business strategy and goals of the company?

Question 19

To what degree have you identified specific business areas or processes where AI can add significant value in your business?


Feedback Mechanisms and Continuous Improvement

Implement mechanisms to gather feedback from users and stakeholders to continuously improve the AI system’s performance and relevance.

Question 20

To what degree does your organization have mechanisms for collecting feedback on business processes (internal and external) in general?

Question 21

Does your organization have feedback mechanisms in place to gather stakeholder input on your AI inplementations?


Liability and Risk Management

Assess and manage the risks associated with AI, including potential failures or unintended consequences, and understand where liabilities might lie.

Question 22

Do you have a centralized function for risk management within your organization?

Question 23

Do you plan to expose a potential AI solution externally to your customers or your customers' customers?

Question 24

Do you plan on providing AI products or services as part of your offering?


Global and Cultural Sensitivity

If the AI will be used in different geographic locations, consider the cultural and linguistic nuances that may affect its performance and perception.

Question 25

Are you operating in regions that might be sensitive to AI adoption (developing countries, regions with strong labour movements, countries with authoritarian governments, etc.)?

Question 26

Are you planning on implementing AI solutions in multiple linguistic and cultural contexts?


Cost and ROI Analysis

Implementing AI can be costly. It’s important to conduct a thorough cost-benefit analysis to understand the return on investment and whether the potential benefits justify the expenses.

Question 27

Do you have business-relevant KPIs that you want to see improved as a result of AI implementation?

Question 28

Can you translate the potential benefits of AI into monetary terms in an AI implementation?

Question 29

Do you have a budget set aside for AI implementation?


Change Management

Implementing AI often requires significant changes in business processes. Companies need to prepare for these changes through proper change management strategies, including training employees and possibly restructuring certain departments or workflows.

Question 30

To what degree do you have a change management plan in place to handle the organizational shifts due to AI implementation?

Question 31

To what degree are your employees adequately informed and prepared for the integration of AI into your business processes?


Security and Privacy Concerns

AI systems can be vulnerable to cyber threats, and they often handle sensitive data. Companies must ensure robust security measures to protect data and AI systems from breaches and misuse.

Question 32

To what degree do you have robust cybersecurity measures in place to protect AI systems and data?

Question 33

To what degree does your organization prioritize regular updates on its data privacy policies and practices?

Question 34

How would you score your security engineering capabilities and security culture in your organization?


Scalability and Maintenance

Consider the scalability of the AI solution and the ongoing maintenance it will require. AI systems may need regular updates, retraining, and tuning to stay effective and relevant.

Question 35

To what degree have you considered the scalability of AI solutions for future expansion?

Question 36

Do AI solutions potentially tie to major efficiency or business expansion in your organization?

Question 37

To what degree is your organization ready with a long-term plan for maintaining, updating, and improving AI systems?


Customer and Stakeholder Impact

Understand how an AI implementation will affect customers and other stakeholders. This includes considering customer experience, and how AI-driven decisions might impact customer trust and satisfaction.

Question 38

To what degree do you understand how an AI implementation will affect your customers and do you have plans to manage these impacts?

Question 39

To what degree can an AI implementation impact your customers' experience or create new opportunities or efficiencies for them?


Monitoring and Evaluation

Continuous monitoring of AI systems is essential to ensure they are performing as intended and to quickly identify and rectify any issues or deviations from expected outcomes.

Question 40

To what degree do you have established metrics and KPIs to measure the effectiveness of AI models and applications?

Question 41

To what degree is regular monitoring and evaluation of AI systems part of your strategy?


Business Goals and Alignment

AI implementation should align with the company’s strategic goals. Companies need to identify specific problems or areas where AI can add value, improve efficiency, or provide competitive advantage.

Question 42

Do you see specific problems or areas in your business where AI can add value, improve efficiency, or provide competitive advantage?

Question 43

What's the primary reason you're interested in exploring opportunities to improve your company with AI?


Regulatory Compliance and Ethical Considerations

Compliance with relevant laws and regulations (like GDPR for data protection) is crucial. Additionally, ethical considerations around AI usage, such as bias in AI models, transparency, and accountability, should be addressed.

Question 44

What is the level of awareness of and compliance with relevant data protection and privacy regulations across the organization?

Question 45

What regulatory frameworks - e.g. GDPR, HIPAA, local laws, industry-specific regulations that might impact the way you govern, manage, and model data does your company comply with?


Intellectual Property and Ownership Issues

Understanding the intellectual property rights related to AI technology is important, particularly if the AI is developed externally or in collaboration with other entities.

Question 46

Do you have an AI strategy for your company or your product?

Question 47

Is offering AI products or services part of your AI strategy?

Question 48

Do you plan to use your proprietary data or knowledge in training, fine-tuning or processing through AI?


Environmental Impact

Consider the environmental implications of AI systems, especially in terms of energy consumption and carbon footprint, as some AI models can be resource-intensive.

Question 49

Does your organization engage in carbon accounting (greenhouse gas accounting)?

Question 50

Is your organization obliged by law or regulatory frameworks to do carbon accounting (greenhouse gas accounting)?