Horsepower accelerates churn prediction with AI-powered Aura365
Post-call analytics transformation
AI-powered analytics enabled faster churn prediction, reduced costs, and improved agent coaching outcomes.
6x
faster churn prediction
74%
OpEx reduction
100%
compliance visibility
14%
agent efficiency gain
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A U.S.-based automotive finance firm lacked timely churn prediction and efficient QA. Gnani.ai deployed Aura365 for automated post-call analytics and actionable insights.
Enabled 100% automated call analysis to extract sentiment scores, compliance markers, and performance metrics across all calls.
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Enabled 100% automated call analysis to extract sentiment scores, compliance markers, and performance metrics across all calls.
Enabled 100% automated call analysis to extract sentiment scores, compliance markers, and performance metrics across all calls.
Applied AI-driven learning loops to refine predictive accuracy and improve outcomes over time.
This deployment modernized analytics, reducing QA costs and improving both customer retention and agent productivity.
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