
Automation Reviews Need Visible Assumptions and a Human Decision
A credible automation review does more than find repeated steps. It shows what was recorded, what was inferred, and what still requires a human decision before any change is approved.
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Product guides on capturing work, reviewing workflows, and identifying repeatable processes.
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A credible automation review does more than find repeated steps. It shows what was recorded, what was inferred, and what still requires a human decision before any change is approved.

Use captured context to show what was recorded, label what it suggests, and keep planning assumptions open for review.

Repeated steps are only a useful pattern when they appear across distinct attempts, connect to the same business outcome, and remain clearly separated from interpretation and planning assumptions.

Evidence links turn a workflow reconstruction from a persuasive story into a reviewable set of claims, while keeping observations, interpretations, and planning assumptions separate.

App activity shows where work appeared to happen. A completed task gives operations leaders a clearer unit for reconstructing the steps, evidence, and variations behind a business outcome.

A useful process comparison does not ask whether people followed the script. It reconstructs distinct work attempts from captured evidence, then shows where the documented path and observed paths differ—without treating the record as a full

A run of apps can reveal where to investigate, but it cannot establish what someone intended. Use sequences to find discovery paths, then test those paths against captured evidence and clearly labeled assumptions.

Collection gaps should narrow a workflow description. Separate what the evidence records from what it suggests, and make planning assumptions visible before using the description to change work.

A reliable automation review separates what was recorded from what it may mean, makes planning assumptions visible, and leaves the decision to a responsible person.

Captured context can show what evidence appeared around a business outcome. It cannot, by itself, explain why the work happened or prove that a process was followed exactly. Keep observation, interpretation, and planning assumptions visibly

Repeated steps are a useful starting point, not a conclusion. Verify the outcome, sequence, context, and recurrence before turning captured work into an operating pattern.

Evidence links turn a workflow reconstruction from a plausible story into a reviewable record—without confusing captured activity with certainty about what happened.

A process document describes the intended path. Shadow reconstructs the path a task actually took, so teams can review the real sequence before deciding what should change.

Work rarely happens in one window. See how captured context becomes an evidence-linked account of one completed task attempt.

Opening the same tools does not necessarily mean repeating the same process. A supported pattern needs separate attempts with matching goals and key steps.

A repeated process can be worth examining without being ready to automate. Evidence creates a review opportunity—not an execution order.

Understanding how a task moved through systems should not become a judgment about the person doing it. The product boundary is task-level evidence, not performance scores.