Audit & compliance analysis with NLP methods
Automatically compare internal process descriptions with compliance and legal texts
Every company must meet compliance requirements and legal regulations in order to bring its products to market in a legally compliant manner. Our NLP expertise helps you to automatically and efficiently align text documents with compliance and auditing requirements.
Audits are only successful if the compliance and governance requirements are met. To achieve this, companies must integrate current legal and internal requirements into their workflows. A challenge, especially in view of the large volumes of text. It is necessary to compare the formulated requirements and measures with each other and to check the degree of coverage between them - and to do so continuously. A time-consuming and resource-intensive task.
This is exactly where Natural Language Processing (NLP), a sub-area of AI, is a great help. It enables companies to automatically compare compliance and legal texts with the formulations in internal process descriptions. In this way, companies can quickly find out whether the desired matches exist at word level. Semantic analysis using embeddings and neural networks is also possible, although precision can be further increased if ontologies are used. A particularly clever feature is that the company remains capable of taking action because it knows at all times whether its own guidelines meet the requirements. This saves time and resources.
You want to know more? We look forward to hearing from you.
Dr. Markus Pernpointner
Team Leader and Lead Consultant
Team Data Science
Among other things, he takes care of the algorithms and the core of NLP. As part of the implementation team of the VDPP platform, he and his colleagues have the task of technically implementing the methods and goals, developing new methods and implementing them in the platform.
Managing Director and Lead Consultant
He studied architecture and philosophy and learned SAS at the Heidelberg University Computer Center. He financed his studies with an IT job at a young Heidelberg IT consultancy. After a few years there he took over the responsibility for several clients in the financial sector. Then he got the offer to spin off the business unit into his own company - the starting point of Kybeidos. There is one thing he appreciates most about his work: getting direct feedback from clients at the end of the day. And to see that you actually create business value and added value.