Do you have a documented AI strategy that integrates with the broader business roadmap and defines long-term organisational goals?

Are processes in place to regularly review and update the AI strategy to reflect changes in business priorities or market conditions?

What challenges have you faced in aligning AI initiatives with long-term organisational goals and business value?

Is there a clearly defined and approved strategy for selecting and using cloud providers to support AI initiatives, ensuring cost-efficiency and scalability?

Are AI-related services, including Generative AI models, formally approved for operational use and aligned with compliance and legal requirements?

What are the primary business objectives you aim to achieve through AI adoption?

How do you ensure AI initiatives are directly linked to measurable business outcomes, such as revenue growth, efficiency gains, or customer experience improvements?

How do you currently measure the success of AI initiatives, and what key performance indicators (KPIs) do you track during Proof of Concept (POC) and pilot stages?

Does your organisation maintain a repository of lessons learned or best practices from past AI initiatives to guide future projects?

What challenges have you faced in tracking AI performance and demonstrating its impact to stakeholders?

What is your overall API strategy for AI integration, and how do you ensure APIs enable seamless connectivity between AI models and core business systems?

What challenges have you faced in standardising API governance, security, and access control for AI integration?

Do you have established, trusted consulting partners or external vendors to support your AI journey and drive innovation?

Is there a defined approach to identifying and prioritising partnerships with AI vendors and or specialist consultanting organisations?

Is there a centralised and structured mechanism for prioritising AI use cases based on their business value and strategic impact?

What criteria do you use to prioritise AI use cases, and how do you ensure alignment with business goals and strategic priorities?

How do you measure the success of prioritised AI use cases, and what feedback mechanisms do you use to refine your selection process?