01
Name the changed condition
Record the policy, tool, input, owner, or exception that no longer matches the working assumptions.
Write downThe previous rule and the changed condition.
Keep changes reviewable
How to keep an AI worker decision log.
When a recurring workflow changes, record the changed condition, pause the affected path if needed, name the owner's next decision, and set a point to review the result.
A decision log makes a change visible; it is not approval to expand a workflow.
Direct answer
Keep the decision trail attached to the workflow.
A useful log explains why the normal path changed, who owns the next decision, and what must be true before the change is treated as settled.
It is a planning and review tool—not a claim that a process is safe, compliant, approved, or ready to run without human judgment.
The four-step record
Use one record to slow down a material workflow change.
The goal is not paperwork. It is to make a changed operating assumption clear enough for the responsible person to review.
02
Pause the affected path
Keep the change from quietly expanding the workflow while the owner decides whether the current rule still applies.
Write downThe path, output, or action that should wait.
03
Make one reviewable decision
State the approved next action, the accountable person, the evidence considered, and any condition that still needs testing.
Write downThe named owner, decision, and review input.
04
Revisit the record
Set a review point so the team can confirm whether the change held, needs another adjustment, or should be removed.
Write downThe review date and what evidence will be checked.
Questions before a change
Ask what the current map no longer explains.
If the answer is unclear, keep the work inside its established human review path until the owner has made the boundary explicit.
What changed?
Name the rule, source, tool, handoff, or exception that no longer fits the current workflow.
What should pause?
Identify the affected path and keep it from quietly using an outdated assumption.
Who decides next?
Name the accountable owner and the review needed before the path changes.
What will confirm it?
Set a review point and the evidence that will show whether the adjustment should stay.
Common questions
Record the operating decision, not a vague promise.
A compact review record helps a team explain what changed and who is responsible for the next call.
What is an AI worker decision log?
It is a short record of a material workflow change: what changed, which path is affected, who decided the next step, and when the team will review it. It keeps a recurring workflow understandable as its rules and context evolve.
When should a workflow change be logged?
Log a change when it affects a source of truth, a routing rule, an approval boundary, an exception path, or the person accountable for the result. Routine notes can stay lightweight, but a material operating change should be reviewable.
Does a decision log approve a workflow change?
No. The record does not replace the business's approval process. It makes the proposed decision, owner, and review point visible so the appropriate person can decide whether the change belongs in the workflow.
Who should own the decision log?
The person accountable for the recurring workflow should own the operating decision, with relevant reviewers contributing where a change affects their systems, customers, or approval responsibilities.
Bring one changed workflow
Make the next operating decision concrete.
Start with the current rule, the changed condition, the owner, and the point where the team will review the result.
The affected recurring job is clear.
A person owns the decision and exceptions.
The review point is visible before the path expands.
Map one recurring workflow
Keep the operating boundary reviewable.
Start with the work and the next decision—not a broad promise about automation.