Example:

I need to find out whether or not the newly designated CFO John Law of a large fintech firm is more likely to be beneficial to a particular company.

This tool, thanks to AI, will go through millions of documents, do an analysis on it and create a document where I will learn: 

1) Basic information (education, age, previous jobs), affiliations (both positive and negative with specific people) and other information.

2) But mainly a disclaimer: I will learn that John Law has been associated with 4 controversial decisions that led to shareholder damage in previous companies, has a rather negative image in trade magazines, has ties (positive) to several prosecuted politicians, flies his private jet to a resort several times a month to meet with the CEO and owner of a cryptocurrency startup looking for buyers for his business.

3) The rating of the (potential) employee (manager) in question, which is calculated based on defined metrics, for a quick indication of his credibility.

4) How many of his claims were true and how many were not.

This will give you information that may indicate a negative event in the appointment of a new CFO.

For more information, please contact us at: sterba@ceescan.com