Maturity Assessment

Does the organization have a clearly defined AI strategy aligned with business goals?

Is there executive sponsorship and budget allocated for AI initiatives?

Are AI use cases prioritized based on business value and feasibility?

Is there a scalable cloud infrastructure for AI training and inference?

Are MLOps practices (CI/CD for ML) implemented?

Do you have access to necessary compute resources (GPUs)?

Is data centralized, accessible, and of high quality?

Are there automated data pipelines?

Is data governance and security strictly enforced?

Do you have an in-house team of Data Scientists and ML Engineers?

Is there an AI literacy program for the wider organization?

Is there a culture of experimentation and data-driven decision making?

Is there an AI ethics board or framework in place?

Are model risks (bias, drift, security) actively managed?

Is there compliance with relevant AI regulations?