2 to 4 weeks
Evaluation and QA
Measure agent quality with test sets built from your real work.
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Overview
What this looks like in practice.
Timeline
2 to 4 weeks
Team
Applied AI engineer
Best for
Teams scaling beyond a pilot
We turn past cases into a test suite, define what a good outcome means and score every change before release. You always know whether the agent is getting better.
What you get
Golden test set from real cases
Quality scorecard and thresholds
Regression checks on each release
Monthly quality review
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The problem
If you cannot measure quality, you cannot scale it.
Early pilots are judged by feel. That works for ten tickets a day and falls apart at ten thousand, when a quiet change in behaviour can reach every customer before anyone notices.
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How it runs
Four steps, no surprises.
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Sample
We pull real cases and label what good looks like with your best people.
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Measure
Scored test sets cover accuracy, safety and tone for each workflow.
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Tune
Failures are grouped by cause and fixed in order of impact.
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Guard
Every change runs through the tests before it can reach production.
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Outcome
96%
Average resolution quality after tuning
500+
Labelled cases in a starting test set
8 min
To test a change before it ships
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Questions
Before you ask.
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