What is meant by AI readiness assessment?

• A. The assessment necessary for AI adoption ensuring governance
• B. The process of waiting for external signals
• C. The speed of deployment
• D. The cost of training data

Answer: (A)

The main idea here is evaluating whether an organization is prepared to adopt AI in a responsible and effective way, with governance guiding the initiative. An AI readiness assessment looks at whether there are clear governance structures in place—policies, oversight roles, accountability, risk management, privacy and security controls, and alignment with legal and regulatory requirements—to steer AI projects from inception through deployment. It goes beyond just technical feasibility and asks if the organization has the data quality and management practices, skilled personnel, and operational processes to implement AI safely and at scale.

This makes the option about readiness for AI adoption with governance the best fit because it explicitly focuses on establishing the governance framework that enables responsible AI use. The other ideas are more about timing or costs rather than whether the organization has the governance and capabilities needed to proceed: waiting for external signals is reactive, speed of deployment is a deployment consideration rather than readiness, and the cost of training data is a financial factor, not a governance and readiness assessment.