Empowering employees and employers to realize the full potential of AI in their workflow. We advocate for the moral, ethical, and secure implementation of AI tools to maximize efficiency, productivity, and overall performance.

About the survey.

Researchers studying artificial intelligence (AI) adoption have concluded that successful implementation of AI is a challenging task (Ali et al., 2024). As with implementing any complex automation, understanding your current and desired states are key to mapping an appropriate direct. This is what the AI Adoption Readiness Survey attempts to help you achieve.

The AI Adoption Readiness Survey is designed using theories that have been broadly supportive of the various aspects of technology adoption. The theories have formed the framework that gives participants solid insights into where they stand or where they perceive their organization stands in its readiness to adopt and implement AI.

The survey measures seven (7) dimensions to determine if there is favorable perception of AI adoption and implementation readiness. The seven dimensions are:

• Business Strategy & Goals Readiness

• Data & Information Readiness

• Technology & Tools Readiness

• People & Culture Readiness

• Processes & Workflow Readiness

• Governance & Responsibility Readiness

• Security & Privacy Readiness

The results are designed to be easily scored and interpreted. Each item is assessed on a Likert type scale of 1 to 7 where 1 is the lowest value and is represented by "Strongly Disagree/Not at all Prepared" and 7 is the highest value and is represented by "Strongly Agree/Fully Prepared."

Scoring & Interpretation

The number of points in each section is summed, having a maximum total number of points possible, and the overall score is a percentage of the maximum total score possible ( 252 pts). For example, if a participant answers questions that total 240 pts, then this would mean that the overall AI adoption readiness score is 92%. The higher the score the more ready the organization is to adopt and implement AI.

The maximum number of points per section is as follows:

• Business Strategy & Goals Readiness (28 pts)

• Data & Information Readiness (28 pts)

• Technology & Tools Readiness (35 pts)

• People & Culture Readiness (56 pts)

• Processes & Workflow Readiness (28 pts)

• Governance & Responsibility Readiness (42 pts)

• Security & Privacy Readiness (35 pts)

AI readiness is categorized by:

• Low readiness (0% - 42%)

• Moderate readiness (43% - 71%)

• Strong readiness (72% - 100%).

Interpretation is simple and allows the participant to categorize their readiness level. Once they understand their current readiness state, they can use the results to develop a plan to improve their standing and save on the costly expense of failed adoption and implementation efforts.

• Low readiness score (0% - 42%): Substantial work needs to be done before adopting and implement AI in the organization. This may require extensive planning and could include hiring experts and consultants in the respective areas to improve the organization's current state.

• Moderate readiness score (43% - 71%): Although positioned better than an organization with a low readiness score, the organization still needs ongoing planning and attention in the areas of weakness before or during the implementation process. This could be a simultaneous effort where planning and implementing on strong points occur while remedial work is undertaken on weaker areas.

• Strong readiness (72% - 100%): Your organization is in a very strong position to take advantage of AI as a tool in its workflow and processes. The organization should continue to build on this strength and further develop where it may need development but proceed orderly in implementing AI.

Reference:

Ali, W., Khan, A.Z., Ahmad, F., & Mahmood, F. (2024). Critical artificial intelligence readiness factors in context of public sector organizations: An expert opinion survey. Journal of Business and Management Research, 3(3), 85-112. https://jbmr.com.pk/index.php/Journal/article/view/252

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