Module 4 • 22 min
Workflow Readiness
Determine whether a process is stable and understood well enough to automate reliably.Automating an Unclear Process Scales Uncertainty
AI can assist with variability, but it cannot compensate for a workflow no one can explain, own, or measure. A reliable automation begins with a shared view of the current state and its exceptions.
Document the handoffs, decisions, exceptions, and customer or employee impact before selecting a system design.
How to Apply This in Your Organization
Use workflow readiness to make one real implementation decision, not as a theoretical scorecard. Bring together the business owner, the people who perform the work, and the technical or data owners who understand the current constraints.
Start with the next candidate workflow, document the evidence available today, and name the missing condition that must be resolved before the organization commits to a pilot or implementation.
Workflow Readiness Checks
- The process has a clear trigger and intended outcome.
- Roles and handoffs are known.
- Exceptions are visible rather than handled only by tribal knowledge.
- The workflow is stable enough that automation will not codify a temporary workaround.
Worked Decision Scenario
A service team wants to automate request intake, but the same request is handled differently by each supervisor and exceptions are resolved through private messages. Automating that process would scale inconsistency rather than reduce it.
The workflow owner first documents the trigger, standard path, exception categories, and escalation owner. Only then can the team decide which portion is stable enough to automate.
Apply it
Workflow Stability Check
Describe one workflow you would automate and identify its trigger, owner, output, and most common exception.
Saved locally for this review prototype. Your response will become private account data when the approved course backend is connected.