1. What are the specific goals and objectives?
   • Clearly define what you want to achieve with AI. Is it to improve efficiency, drive innovation, enhance customer experience, or something else?
2. How will AI align with the overall business strategy?
   • Ensure that the AI initiative aligns with the broader goals and strategies of your organization.
3. What data is available, and is it of high quality?
   • AI systems require data to learn and make decisions. Assess the quality, quantity, and relevance of the available data.
4. What are the ethical considerations?
   • Consider the ethical implications of using AI, including privacy concerns, bias in AI models, and the potential impact on employment.
5. What is the expected ROI (Return on Investment)?
   • Evaluate the potential financial benefits and costs associated with implementing AI.
6. What skills and resources are required?
   • Determine if you have the necessary skills in-house or if you need to hire or train employees. Assess the need for external partnerships or consultants.
7. How will you ensure data security and privacy?
   • Develop a plan to protect sensitive information and comply with data protection regulations.
8. What infrastructure is needed?
   • Assess the technical requirements, such as computing power and storage, to support AI initiatives.
9. How will the AI system be integrated into existing processes?
   • Plan for the integration of AI into current business processes, considering any necessary changes or adaptations.
10. How will success be measured and monitored?
    • Define key performance indicators (KPIs) to track the success and effectiveness of the AI strategy.
11. What is the plan for ongoing maintenance and updates?
    • AI models may need regular updates and maintenance. Plan for the long-term sustainability of the AI system.
12. How will you manage the change within the organization?
    • Consider the impact on employees and plan for effective change management to ensure smooth adoption.
13. What are the regulatory and compliance requirements?
    • Understand and comply with any legal and regulatory requirements related to AI in your industry.
14. How will you address potential biases in AI algorithms?
    • Develop strategies to identify and mitigate biases in AI models to ensure fairness and objectivity.
15. What is the plan for scalability?
    • Consider how the AI solution can be scaled in the future to accommodate growth and changing needs.