Readiness is not a policy document. It is the ability to make consistent decisions about AI use cases and operate approved systems over time.
Ten readiness questions
- Do we maintain an inventory of AI use cases and systems?
- Does every use case have an accountable business owner?
- Can teams classify risk using a simple shared method?
- Are permitted and prohibited uses explicit?
- Do we know which data sources each system uses?
- Are testing requirements proportional to impact and autonomy?
- Is human review placed at meaningful decision points?
- Can we trace outputs, approvals, actions, and changes?
- Do we monitor performance, incidents, drift, and adoption?
- Can we pause, correct, or retire a system safely?
Turn gaps into an operating roadmap
Group gaps across governance, people, process, data, technology, and operations. Prioritize the capabilities needed by current use cases instead of designing a theoretical target state.
Use the assessment repeatedly. Readiness changes as systems, vendors, regulation, and organizational experience evolve.
Assess your AI operating readiness.
Translate findings into practical governance and delivery priorities.