Automated quality assurance uses AI to apply consistent QA criteria across customer interactions at scale, giving teams broader coverage than manual sampling alone.

Full QA Coverage

Score every interaction with the same QA criteria, while keeping human review and dispute tracking in the process.
Every interaction counts.
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Most QA teams review one or two percent of interactions. That sample is scored carefully and then treated as a picture of the whole operation, which everyone involved understands is an approximation. 

Analyze runs your existing scorecard across every interaction instead. Same criteria and weighting, applied to all of them. Human review and dispute tracking stay in the process,so a score that looks wrong can be challenged and the outcome feeds back. 

The change worth noticing is what happens to your QA analysts. Their days currently go into scoring. Once the scoring is automatic, they can go into what the scores show,which is the work they were hired to do and rarely get to. 

And when somebody asks how you know a control is working, the answer stops depending on how many calls a team could get through. 

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