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Use case overview

Bulk Claim Analysis & Comparison

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.

Correspondence Automation

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.

CV Matching

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.

  • Ranking of top candidates at the touch of a button
  • Overview of the best internal candidates for any skills
  • More objective selection of candidates
  • Acceleration of the selection process by up to 50%
  • More time for interviews to ensure human fit

Document Analysis & Comparison

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.

Knowledge Management

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.

Objection Management

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.

OEM and Supplier Contract Analysis & Comparison

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.

Requirements & Specification Analysis

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.

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Review of changes

semantha® helps you to immediately recognise which regulatory changes there have been in new documents since the last version.

Semantic Search

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.

Tender Analysis

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.

Customers

We have written extraordinary success stories with some of our clients. You can read them here: Success stories.