QA done right, the AI way with Salesken’s
Fast & Accurate Results
Plug & Play Integrations
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Quality assurance, as implemented through Salesken, involves the real-time monitoring of 100% of your calls and the automation of the quality assessment process. Utilizing Salesken, calls are evaluated across various parameters to guarantee that high-quality conversations occur and that compliance standards are met during client interactions.
AI driven QA can reduce costs by up to 80% against a standard manual QA process.
AI QA in most typical use cases can be as accurate if not more accurate than an average human evaluator. This is because of a combination of factors, including the power of Large Language Model driven AI, the reliability and replicability of software versus human effort, and finally the massive difference between a 100% dataset against a small scale sample.
For the inferences we draw from any QA effort to be meaningful, the sample we choose to analyze must be representative of the entire dataset, and creating a truly representative sample is incredibly hard in practice. For the most part, traditional QA sampling is a convenient fiction - AI driven evaluation of your entire dataset is an obvious and necessary investment for any serious QA practitioner