Definition
AI readiness includes a real use case, usable data, process clarity, accountable owners, security expectations, and a willingness to change how work is done.
Why it matters
It helps leaders distinguish a valuable AI initiative from an expensive experiment that cannot reach production.
Business example
Before building an assistant, a team confirms that its source documents have owners, access rules, and a weekly update process.
When to use it
Use it before choosing an AI platform, model, or roadmap.
When not to use it
Do not make readiness a long abstract assessment; tie it to a real operational opportunity.
How Automathing approaches it
We assess readiness through a concrete workflow and leave with the next capabilities to strengthen.