The necessary comparison with internal and external standards (e.g. norms, applicable documents and industry standards) is taken into account by semantha® during the requirements analysis.
In your company, many procedures on the same topic are processed. Despite always having similar presentations in the pleas and repetitive correspondence with companies, insurers and clients, these documents have to be read and analysed at great expense. Although content can be divided into certain categories, the problem is that similar issues are formulated in completely different ways, which makes it seem impossible to automate the processes.
You have to reply to numerous pleas, such as lawsuits or statements of defence, and repeatedly come across similar submissions. In most cases, you can use excerpts from past responses as a basis for the new plea. However, the classification of the individual submissions of the newly received pleas is the biggest challenge.
Harmonization of company-wide regulations, such as company agreements, work instructions & SOP’s across different locations
In your company, contracts have to be reviewed regularly and with a high manual effort. In most cases, the content to be reviewed is similar. The problem is that every contract is worded and structured differently, which makes automation impossible.
Comprehensive information analysis is becoming increasingly important to reduce risks and improve investment management.
In your company masses of correspondences have to be processed and allocated every day. Each mail must be analysed at great expense before the next step can be taken. It is quite possible to assign certain categories, but the problem is that similar facts are formulated very differently, which apparently makes it impossible to automate this process.
With semantha® we have developed an AI tool that overcomes the weaknesses of conventional matching tools. The application does not compare whether certain terms occur in documents, but reads the documents at the level of meaning. And it does so within a few moments.
In your company, documents have to be reviewed regularly and with a high manual effort. In most cases, the content to be reviewed is similar. The problem is that every document is worded and structured differently, which makes automation impossible.
semantha® helps you with the necessary development and consolidation of uniform, company-wide rules and regulations.
Your company has large masses of unstructured text documents. One of the daily challenges is to search these documents for specific content, whereby normal search functions only offer a simple “keyword search” that does not lead to the desired results. This is particularly due to the fact that, on the one hand, it is not known exactly how a topic was formulated and, on the other hand, the same topics are also formulated quite differently in the various documents.
Regulations on bank contracts and guidelines are subject to change. Use semantha® to identify all affected contracts and speed up your processes.
Your company regularly receives large volumes of objections relating to infrastructure projects. The letters of objection contain statements such as environmental aspects, health concerns, reduction in the value of real estate, quality of life, etc. Each objection must be reviewed for content and subject matter to be answered appropriately.
In your company, Framework contracts of OEM customers have to be reviewed regularly and with a high manual effort. In most cases, the content to be reviewed is similar. The problem is that every contract is worded and structured differently, which makes automation impossible.
The increasing number of work instructions means that bank advisors can only find important content with great effort, as many specifications are not sufficiently structured. Finding subject areas in unstructured texts therefore offers the necessary added value to find & comply with the relevant specifications.
Requirements specifications and requirements have to be checked regularly with high manual effort and time pressure. Many requirements and clauses differ only slightly in content from those from projects that have already been completed – nevertheless they have to be read and evaluated again and again.
semantha® helps you to immediately recognise which regulatory changes there have been in new documents since the last version.
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 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 analysed for certain contents and exclusions in order to avoid undesirable major claims.
And this is exactly where our AI semantha® can help: It understands text based on meaning, regardless of word choice – so you find content you’re looking for, no matter how it’s worded – out of the box and without extensive training with your data.
According to our experience so far, semantha® saves you 45% of the time when checking risks. Prospective customers thus receive their offers very quickly and your experts can concentrate on value-adding activities such as the acquisition of new customers through individual concepts.
Based on old, historical data, semantha® improves your risk identification – for an even more successful future.
semantha® reduces the effort of recurring checks with regard to certain criteria – regardless of their respective formulation. Perfect for a search within the valid guidelines for the respective employees.
By extracting the existing content, semantha® creates an inventory of the current regulations in no time at all – and always up to date.
Support in the due diligence of third parties. The aim is to assess the compliance risk associated with the target company on the basis of historical as well as procedural and structural circumstances in the target company.
In your company, tenders have to be checked and evaluated regularly and with a high manual effort. In most cases, the content to be reviewed is similar. The problem is that every tender is worded and structured differently, which makes automation impossible.