Voice communication is essential in financial markets—but it’s also one of the hardest channels to capture, analyze, and control. As trading language becomes more complex, conversations shift across multiple languages, and hybrid work creates new communication patterns, traditional tools often fail to provide the accuracy and insight compliance teams need.

This report outlines the eight biggest voice‑related challenges faced by financial institutions today, including:

• Specialized trading jargon that standard speech recognition struggles to understand.
• Multilingual and mixed‑language conversations that must be accurately transcribed for regulatory review.
• Time‑consuming manual reviews, making it difficult to identify potential misconduct at scale.
• Sentiment changes that can signal risk but are easy to overlook in unstructured audio.
• Unclear speaker attribution, complicating investigations when multiple participants are involved. 

The report also highlights how AI‑powered transcription, speaker identification, and sentiment analysis can transform unstructured voice data into searchable, actionable intelligence—helping compliance teams reduce risk and speed up investigations. 

Download the report to understand how modern AI solutions can help your organization stay ahead of voice‑related compliance challenges and strengthen your surveillance capabilities.