The Enterprise Generative AI Checklist is a practical guide for planning, deploying, and governing generative AI across the enterprise. It covers 18 actions across use case selection, data readiness, model architecture, security, evaluation, and governance. Use it to reduce implementation risk, improve AI quality, and build generative AI solutions that deliver measurable business value.

Assess Your Generative AI Readiness

Review every critical part of your generative AI program, including business use cases, data quality, model selection, security controls, evaluation frameworks, and governance policies. The checklist helps identify weak data foundations, unmanaged AI tools, security risks, poor evaluation practices, and adoption gaps before they affect production AI systems.

Build Secure and Scalable Generative AI Solutions

Apply proven best practices to move from experimentation to enterprise-scale generative AI. The checklist helps teams prioritize high-value use cases, implement retrieval-based architectures, strengthen data governance, protect sensitive information, evaluate model performance, and establish clear AI policies so generative AI can scale with confidence across the organization.