Greenfield Project Requirement Scoping for Oracle Cloud Automation & AI

When starting a Greenfield project involving Cloud Automation & AI, the discovery phase is crucial to understand the client's needs and expectations and to set the foundation for a successful implementation. Here are some tailored sales discovery questions to ask during this phase:

 General Business Understanding:

1. What are your primary business objectives for implementing Cloud Automation and AI?

   - This helps understand the overarching goals like cost reduction, scalability, or innovation.

2. Can you describe your current IT infrastructure?

   - Insights into existing systems will help determine how to integrate or replace them with new cloud solutions.

3. What specific pain points are you experiencing with your current systems or processes that you hope to solve with cloud and AI technologies?

4. How does your company currently handle data management and analysis?

 Cloud Automation Focus:

5. Have you considered or implemented any cloud services before? If so, which ones were chosen, and what was your experience?

   - This can reveal past experiences and preferences in cloud service providers.

6. What processes within your organization are prime candidates for automation?

7. What level of automation are you looking for? Full automation, partial, or specific task-based automation?

8. Are there any compliance or regulatory requirements we need to consider in your cloud strategy?

 AI Implementation:

9. What are your expectations from AI integration? Are you looking at predictive analytics, customer service enhancements, or other AI applications?

10. Do you have existing data sets, or will you need assistance in collecting and preparing data for AI use?

11. How do you envision AI transforming your business operations or customer interactions?

12. Are there particular AI technologies or frameworks you are interested in or open to exploring?

 Technology and Resource Assessment:

13. What is your team's expertise in cloud technologies and AI? Would there be a need for training or hiring new talent?

14. What is your technology adoption timeline? Are you looking for a rapid deployment or a phased approach?

15. What budget constraints or considerations should we consider for this project?

 Strategic Alignment:

16. How will this project align with your company's long-term strategic goals?

17. Who are the key stakeholders in this project, and what are their expectations?

18. How do you measure success for this project beyond the initial ROI? Are there KPIs we should consider?

 Competitive and Market Analysis:

19. What are your competitors doing in cloud and AI that you find impressive or concerning?

20. Is there any market or industry trend influencing your decision to adopt these technologies now?

 Final Engagement:

21. Who internally would be responsible for managing this project, or will there be a need for external consultancy?

22. What next steps would you like to take post-discussion? Are you open to a more detailed technical assessment or a proof-of-concept phase?

These questions aim to gather necessary information and engage the client in a dialogue that helps build trust, understand their vision, and tailor the solution to fit their unique business environment. Remember, in a greenfield scenario, you're solving existing problems and setting a foundation for future innovations.