“You check masses of text documents like broker wordings,
framework contracts and special agreements?”
“Different wordings make automation impossible?”
Product managers and underwriters have to check large amounts of text on a regular basis with a high manual effort. Special broker wordings in particular contain many special agreements and are usually formulated quite individually. New incoming documents have to be checked in detail for undesirable risks under high time pressure, and in the case of new specifications by reinsurers, entire portfolios are analyzed for specific contents and exclusions in order to avoid undesirable major losses.
And this is exactly where our AI semantha® can help: It understands text based on meaning, regardless of word choice – so you can find content you’re looking for, no matter how it’s worded – out of the box and without extensive training with your data.
Based on our experience so far, you save 45% more time when checking risks with semantha®. Prospective customers thus receive their offers very quickly and your experts can concentrate on value-adding activities, such as winning new customers through individual concepts.
With semantha®, incoming documents can be automatically checked for relevant content. These are displayed to the processor regardless of the wording, completely without time-consuming and recurring searches. The comparison with guidelines, exclusions of the reinsurer and already accepted/rejected risks becomes clear and efficient.
Possible applications:
– Broker-Wordings
– Side Letters
– Special risks
– Industry framework agreements
The Compare function of semantha® can compare the contents of documents with each other, regardless of the wording. Similar passages are compared and marked in color. Areas that were not found in the reference document are also displayed.
For example, a wording to be checked can be compared with the own standard conditions and essential differences can be identified quickly.
A framework agreement proposed by you with the broker can be compared with existing conditions of the competitor.
– Broker wordings
– Framework agreements
– Special risks
– Competitor monitoring/market comparison
More Use Cases:
– Analysis of major risks by extracting decisive values from survey reports
– Examination of certain contents of existing contracts and agreements in the portfolio (changes by reinsurers, etc.)
Check now and see if semantha®
is suitable for you.
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Bei folgenden Themen kann Dich semantha® unterstützen…
Behr-Hella Thermocontrol GmbH is a company founded in 1999 for the development and manufacture of air conditioning control units for automobiles and other vehicles.
Compared to other AIs, the carbon footprint of semantha® is much better.