The pilot ran.
Is the job actually better?
The growth team has tried the workflow. Review two things separately. In Langfuse or LangSmith, inspect AI inputs, outputs, behavior checks and quality scores. Then use the work timeline and team records to see whether campaign delivery actually improved. Together, these reviews determine what to do next.
Preparing the output…
Now check whether the team’s work actually improved.
A model score does not tell you campaign lead time. Compare the work timeline, tool and review costs, and actual team use with Goal. The example took 3.5 days instead of 5, but missed the 3-day target. Team use was 20% against a target of 60%.
Preparing the output…
Quality missed the target. What should change next?
The brand reviewer gives the builder a weak output and a good example to improve drafting instructions and quality checks. The champion watches a user complete a campaign to find why they revert to the old process. Recheck the same tests and Goal measures before adding more teams.
Preparing the output…
Outcome review and next decision
The review records what improved, what missed its target and who makes each correction. Consider expansion when quality and business results are accepted.
Preparing the output…