How Alleima transformed internal data into strategic knowledge

Background/customer challenge

The solution currently used by Alleima was rooted in a previous project called Alleima Guru, where AI was used to analyze several decades of research documents. Alleima Guru clearly showed how powerful it can be to use generative AI to make internal knowledge available. With these insights as a basis, Alleima wanted to create another solution, that could be adapted to different parts of the business, tailored to their needs, security requirements and organization. It was the start of the development of Allemind.  

 Alleima had a clear need to be able to better utilize its internal knowledge. The information was fragmented, difficult to search and inaccessible to other departments. At the same time, there were strict security requirements, the documents contained business-critical information that was not allowed to leave the company’s network. Previous experiences from similar AI projects showed the potential, and the customer now wanted to scale the concept to more parts of the organization

The solution

To meet the need, we supported Alleima in the development of; Allemind, an AI-based solution built on Microsoft Azure technology that analyzes internal documents and generates relevant answers to the user’s questions. The solution is based on retrieval-augmented generation (RAG) and uses established AI models such as GPT-4.1 in combination with Azure Search. All data is managed within the customer’s Azure environment, ensuring that no information leaves the organization. 

  A user interface in line with the customer’s graphical guidelines was developed, with the ability to filter information based on specific needs. The system is role-based and uses Microsoft Entra to control access to documents, which provides high security and control. Users can upload documents and images directly in the chat, for example to compare an ongoing contract with existing ones in Allemind.  

  To ensure that the solution can adapt to users’ needs, a management portal was also built where administrators can receive feedback from users on the answers they receive, which enables continuous improvement. The solution is flexible and allows for customized functionality, such as document comparison and product filtering.  

  Unlike AI assistants, Alleima fully owns the solution, can adapt it to its needs and is not dependent on external update cycles. The development time has been manageable thanks to the reuse of technical components from previous projects. 

Results and customer value

With Allemind, Alleima has unleashed the power of its internal knowledge. Different teams now save significant time by accessing relevant information quickly, which has led to increased productivity and faster innovation cycles in Sales, HR, R&D and IT support. The solution has also contributed to cost savings by streamlining information search and reducing manual work.  

Security requirements have been met, the customer can securely manage internal documents within their own cloud environment. The user interface and feedback system have led to high user acceptance and engagement. The solution is future-proof, with plans to integrate operational data and enable multi-step decisions for even more intelligent information management.