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Peter Kesch, head of business development at SentiSquare, gave an interview to the financial magazine Fintag. He described the benefits of using machine learning-driven text analysis to obtain detailed information about customers - and what they say about their concerns, wishes, and objections.

Czech financial and investment advisers have a new regulation to comply with. From 1st May 2020, they are obliged to record telephone calls with clients in which they deal with investments. That way, CNB aims to ensure financial advisers and intermediaries comply with rules. Most financial advisory companies and advisers were against this. It is a burden both procedurally and financially; in addition, they may need to employ people to evaluate the calls. That is when AI comes to the rescue, transcribing calls, evaluating them and structuring the data to allow for searching for specific information. As a result, financial and investment advisory firms will gain a new world of insights about customers that would otherwise be difficult to access.

In many companies, communication increased rapidly day by day. Large email backlog in your inbox? Overloaded chat? Are your social media walls full of questions? Dealing with too many incoming requests? The new situation is an ideal task for robots. Customers need fast response now! SentiSquare AI sets out to support companies and institutions experiencing these problems. Sentisquare offers free analysis of incoming communication within 1 week to any company that is overwhelmed by queries. Further support includes automated FAQs or training robots to prioritise and forward emails to the right people.