A valuable automation candidate is not simply a repetitive task. It is a workflow with clear ownership, stable inputs, understood decisions, manageable exceptions, and an outcome that can be measured without weakening control.
Start with the business outcome
Define the delay, error, cost, risk, or user burden the workflow creates. The automation objective should describe the improvement expected rather than the technology to be introduced.
Confirm process stability
Automating an unclear or constantly changing process can make problems faster and harder to see. Roles, inputs, decisions, handoffs, exceptions, and completion criteria should be sufficiently understood first.
Assess information readiness
The workflow needs usable, accessible, and appropriately governed information. Data quality, permissions, retention, classification, and source ownership often determine feasibility more than the model or automation platform.
Set action boundaries
Decide which steps can be automated, which require review, and which must remain human decisions. Higher-impact actions should have stronger confirmation, segregation, logging, and recovery controls.
Measure the result
Baseline cycle time, rework, errors, cost, backlog, user effort, or control performance before implementation. Benefits should be measured after deployment together with exceptions and unintended consequences.
What to carry into the next decision.
- Select workflows based on measurable business value and control feasibility.
- Stabilize process and information before automating.
- Define human review and action limits explicitly.
- Measure outcomes and exceptions after deployment.
