Faster analysis: AI can analyze calls much faster than humans, allowing auditing managers to scan through calls quickly and focus their attention on the most important ones. Comprehensive analysis: By taking into account not just the words spoken, but also the tone and context in which they are spoken, AI can provide a more comprehensive analysis of the call, helping to identify patterns and trends that can improve sales performance. Improved performance: AI can help sales agents identify areas for improvement, allowing them to fine-tune their approach ultimately improve their performance. Automated process: AI can automate the sales call auditing process, saving and reducing the risk of errors.

Incorrect contextualization: AI may misinterpret the context of a call, leading to inaccurate insights. Wrong messaging: AI may not correctly identify the messaging from a call, leading to inaccurate results. Vague summary: AI may provide a summary that is too vague to be useful, leading to inaccurate insights.

AI is revolutionizing the way sales call auditing is done. By using tonal and text analysis, AI can summarize calls and provide insights that help sales agents, training managers, and auditing managers improve their processes. The benefits of AI in sales call auditing include faster and more comprehensive analysis, improved sales performance, and an automated process. However, it's important to be aware of the downsides to watch out for, such as incorrect contextualization and vague summaries. Real-world examples like Gong, Chorus.ai, and ExecVision show how AI is already being used in the industry to improve sales performance and stay ahead of the curve.