Workflow readiness
The workflow should be repeatable, valuable, and bounded enough to evaluate without solving the whole organization.
Known users
Repeatable task
Clear output
Measurable value
Planning
AI Readiness Checklist
An AI readiness checklist helps teams decide whether a workflow has the data, ownership, controls, evaluation path, and deployment boundary required for a useful pilot.
Data readiness
Sources should have owners, permissions, freshness expectations, and enough examples to test against.
Source authority
Access control
Sample cases
Document freshness
Control readiness
Before implementation, define risk levels, approvals, logging needs, and deployment constraints.
Risk map
Approval rules
Audit trail
Deployment model
Related reading
Continue through the connected solution pages, case studies, and planning references.
Turn this into an implementation path.
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