AI Maturity Assessment for Companies

  • 4 mins read

Purpose of the Survey: Welcome to our AI Readiness Survey. This survey aims to gauge the current state of AI understanding, engagement, and implementation within our organization. As we stand on the cusp of a technological revolution, assessing how prepared our teams are to embrace and leverage AI technologies is essential. The insights gathered here will inform our training, development, and innovation strategies, ensuring that we remain competitive and at the forefront of our industry.

Scoring: You will find detailed information on the scoring further down on this page. You can also have a look at an example of a standard result of the survey: 240130 Results Survey

Completion Time: The survey will take approximately 10-15 minutes to complete. Your responses are very much appreciated, and we encourage thoughtful participation.

Confidentiality and Outcome: Please be assured that your responses will be kept confidential and will only be used to evaluate our AI readiness as an organization. Upon completion of the survey, the aggregated data will be analyzed to create a roadmap for our AI integration journey. This roadmap will help us identify key areas for investment in training, potential AI initiatives, and strategies to enhance our AI capabilities.

Final Notes: Your input is crucial in shaping the future of our company in the digital age. We thank you in advance for your time and honest feedback. Let’s embark on this transformative journey together with foresight, preparation, and a shared vision.

Please go ahead with the survey when you’re ready.

Erstellen Sie Ihre eigene Umfrage zu Nutzerfeedback.

Survey Process: This survey is divided into five key sections, each designed to capture a different aspect of AI readiness:

  1. General Employee Questions will assess individual employees’ understanding and attitudes towards AI.
  2. Department-Specific Questions will differentiate between technical and non-technical departments to identify specific needs and concerns.
  3. Management Perspective will provide insights into strategic planning and leadership viewpoints on AI.
  4. Training and Development will explore current AI learning opportunities and potential areas where more resources might be required.
  5. Ethical and Social Implications will consider our collective stance on the responsible use of AI.

Each question will present a set of choices; please select the one that best reflects your view or experience. Some questions will include scales to rate your knowledge or comfort level regarding AI.

Scoring: Let’s delve deeper into each of the six AI readiness levels, offering a more nuanced understanding of what each level entails. This will help in accurately assessing where a company stands in its AI journey.

Level 1 – Awareness

  • Characteristics: Basic awareness of AI technologies and their potential impact on the industry.
  • Indicators: Employees are aware of AI as a concept but lack detailed knowledge. There’s minimal to no AI usage in business processes.
  • Objective: To make employees aware of AI’s relevance and potential impact on their roles and the wider industry.

Level 2 – Understanding

  • Characteristics: Basic understanding of AI concepts, tools, and their relevance to the business.
  • Indicators: Employees comprehend basic AI terminologies and concepts. There’s recognition of how AI could be relevant to the company, but practical application is still limited or theoretical.
  • Objective: To build a foundational understanding of AI and how it can be applied in various business contexts.

Level 3 – Engagement

  • Characteristics: Employees engage with AI concepts in their specific roles; initial stages of AI application are evident.
  • Indicators: There are discussions and plans regarding AI implementation. Employees start to consider how AI can be integrated into their work, although actual deployment might be limited.
  • Objective: To initiate practical engagement with AI, fostering an environment where employees start to integrate AI thinking into their roles.

Level 4 – Implementation

  • Characteristics: Active implementation of AI in specific business processes or projects.
  • Indicators: AI is being actively tested or used in certain projects or functions. Employees are involved in these AI projects, either directly or indirectly.
  • Objective: To move beyond theoretical understanding and begin actual implementation of AI in certain areas of the business.

Level 5 – Integration

  • Characteristics: Full integration of AI across various business functions and processes.
  • Indicators: AI is a key part of business processes across multiple departments. Employees are comfortable working with AI technologies, and there’s a significant impact on productivity and efficiency.
  • Objective: To make AI an integral part of the business, enhancing various functions and driving innovation.

Level 6 – Innovation

  • Characteristics: Leading in AI innovation and development within the industry.
  • Indicators: The company not only efficiently utilizes AI but also innovates in AI technology or its applications. It contributes to the field, possibly developing proprietary AI technologies or novel uses of AI in its sector.
  • Objective: To be at the forefront of AI technology, setting industry standards and exploring new frontiers in AI applications.