How to Evaluate a Custom Software Automation Candidate

Not every repetitive task should become software. Evaluate an automation candidate by the decision, data, exceptions, and cost of failure—not only by how often someone performs the current manual step.

Describe the current workflow

Map trigger, inputs, decisions, outputs, handoffs, approvals, systems, rework, and stop conditions. Include the work people do outside the official process because that is often where the real complexity lives.

Measure repeatability and volume

Estimate frequency, record count, time per case, seasonality, and variation. A high-volume workflow with stable inputs may be a good candidate; a rare process with many exceptions may need better guidance instead.

Separate judgment from mechanics

Identify which decisions require expertise, empathy, or approval and which steps only copy, validate, notify, or reconcile data. Automate the mechanical path while keeping a clear human review for uncertain cases.

Price failure and ownership

Consider incorrect records, duplicate side effects, privacy exposure, missed deadlines, and customer impact. The integration rollout guide helps plan monitoring, recovery, and a bounded pilot.

Test the data and exceptions

Use representative records, missing fields, conflicts, late updates, permissions, duplicate inputs, and outages. Define what the automation does when it cannot decide and who receives the exception.

Choose a measurable pilot

Start with a narrow scope, baseline manual effort, define quality thresholds, and assign an owner for review. Compare time saved with correction work, adoption, failure rate, and customer outcomes before expanding.