As Joseph Twigg from Aveni explains the accuracy and accessibility of speech analytics has significantly improved with the introduction of large language models. This has caused speech analytics adoption to skyrocket, particularly in high-value and complex interactions like financial services.
Automating the process of evidence and understanding customer circumstances can lead to a scalable and efficient operating model, providing additional insights.
Large language models can perform compliance monitoring, quality assurance, and consumer duty assessment for every single interaction, which can help identify high-risk interactions and flag them for review. The future may see all conversations recorded, making it easy to remember what was said.
While training large language models on broad data sets requires additional domain expertise and controls, they are designed to generate documentation in the voice of the customer, saving time and effort.
Overall, large language models will fundamentally change the way businesses operate, offering opportunities for scalability and efficiency.
Find out more about Aveni -> Here.
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