AI Workflow Readiness Scorecard
Answer a short quiz to check your AI readiness.
Use one specific workflow, not a whole department or transformation program.
The workflow has a clear business owner.
The current process can be explained from input to output.
The workflow happens frequently enough to justify improvement.
The workflow creates measurable pain today.
The team can define what "better" means operationally.
The data required for this workflow is known.
The important data sources are identifiable.
The data is accessible through realistic retrieval paths.
Permissions can be enforced at the right level.
Relevant documents or records are searchable and retrievable.
Human review points are clearly understood.
Sensitive data in the workflow is known.
User actions and AI outputs can be logged.
The team knows what AI can suggest versus execute.
Exceptions, failures, and overrides can be handled safely.
The systems involved in the workflow are known.
Safe integration points exist, such as APIs, exports, inboxes, or databases.
The workflow can tolerate AI processing latency.
There is a safe way to test integration behavior.
Manual fallback is possible if the AI or integration layer fails.
There is executive or departmental sponsorship.
There is a named owner responsible for moving the project forward.
Success criteria are agreed.
Budget exists for build, testing, and operation.
The team can start narrow and improve iteratively.