Your AI for reinsurance documents
Analyze entire contract portfolios, compare documents in your renewal processes, and transfer crucial clauses into your system with ease.
The challenges of reinsurers
Reinsurance companies and their underwriters bear a substantial manual burden as they consistently review extensive volumes of contracts and documents.
- Since the contracts are renewed annually, you need to thoroughly compare the versions to identify crucial differences.
- You need to manually transfer important clauses to your DMS/CRM.
- Ongoing reviews of entire contract portfolios are essential due to evolving laws, emerging regional risks, or modified internal regulations.
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It requires a high manual effort and is time-consuming.
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Risk of human error as important details can be overlooked.
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Simple mistakes can cause costs in the millions.
semantha: Facilitates your reinsurance workflows
When repetitive actions eat up your time, semantha takes over. The AI understands text based on its meaning and context. This way, you can automatically analyze and compare your documents and have relevant data points extracted.
Compare renewals
semantha compares two or more versions of a contract, but also any other type of document with each other. It highlights similarities as well as modifications, differences, and passages that were not found in the reference document.You can export your results in different formats, including Excel and annotated PDFs.
Import clauses and data points into your DMS/CRM
You can define topics in your customized semantha library. On this basis, semantha automatically checks new contracts for relevant content. Important clauses are detected and data points extracted so that they can be transferred directly to your CRM.
Analyze risks
Automatically check new documents for specific content, such as must-haves or no-gos. So you find missing passages and identify terms that have not been approved in previous contracts, e.g. high-risk clauses. Deviations from approved or standard clauses are recognizable and it is easier to detect paragraphs that are affected by changes in legislation or internal policies.