Direct Answer
What is AI readiness?
AI readiness means teams can use AI responsibly in real work with clear roles, workflow use cases, governance, manager reinforcement, and measurable value.
AI Readiness
Move AI from experimentation to governed capability.
AI readiness requires role fluency, workflow fit, responsible use, risk controls, and value evidence before adoption scales.
Role Fluency
Define what each role must understand, decide, create, verify, and escalate when using AI.
Governed Use
Create boundaries, review practices, confidence standards, and escalation paths.
Workflow Fit
Embed AI into work moments where speed, judgment, quality, or scale can improve.
Value Evidence
Measure cycle time, quality, risk reduction, productivity, and decision confidence.
Next Decision
Move AI from awareness to operational capability.
Build the leadership model, adoption system, and proof plan together.
Briefing Questions
- What decision does leadership need to make?
- Which capability must change in the work?
- What proof will make progress credible?
- Who must reinforce the operating rhythm?