Initial Situation
A large company in a highly regulated industry found itself facing a rapidly evolving AI landscape. Various internal development teams had begun creating independent AI bots and applications to address the specific needs of different departments. While this innovation was positive, it threatened to lead to a fragmented system landscape where employees would have to switch between multiple applications.
The company recognized the strategic opportunity to consolidate these initiatives and create a centralized, highly available platform. The goal was a unified user interface that brings together various AI services—from general assistance to specialized document analysis—under one roof. From the outset, strict requirements regarding data protection, information security, and compliance had to be met to enable company-wide deployment.
Our Solution
In close collaboration with the internal teams, AMAI developed a central orchestration platform that acts as a single point of entry for various AI services. The solution abstracts the complexity of the underlying models and provides an intuitive user experience that safely guides employees through their daily tasks.
- Central Orchestration Platform for AI Services: The core component of the architecture is a high-performance middleware based on FastAPI, which receives employee requests and intelligently routes them to the appropriate specialized bots. Instead of having to use a separate tool for every use case, users access all AI functions via a unified web interface. The platform centrally manages authentication, request routing, and response aggregation, ensuring a seamless user experience across various backend services.
- RAG Pipeline for Intelligent Document Analysis: To efficiently process large volumes of documents, a specialized module based on Retrieval-Augmented Generation (RAG) was implemented. Employees can utilize extensive internal documentation—from work instructions to complex process descriptions—within secure data environments. The system uses modern vector databases and semantic search to precisely locate relevant information. A multi-query approach and query rephrasing ensure that even complex or poorly phrased user questions are interpreted and answered correctly in context, with sources transparently marked in the original documents.
- Advanced LLM Functionalities with Web Search: In addition to internal document analysis, the platform offers a module for general assistance tasks that enriches modern Large Language Models (LLMs) with up-to-date information from the internet. This component allows employees to conduct research, create text, or generate images without having to leave the secure corporate environment. Integration is carried out in strict compliance with applicable data protection and regulatory requirements. This ensures that no sensitive company data is used to train public models.
- Scalable Architecture and AI Engineering: The technical foundation was consistently designed for scalability and maintainability. By using modern frameworks like LangChain and planning for migration to specialized AI foundry solutions, the platform is future-proof. A particular focus was placed on implementing robust monitoring and logging mechanisms that allow for error analysis without compromising data protection or compliance standards. This enables the operations team to continuously monitor model performance and steadily optimize the quality of responses.
Results & Business Impact
The introduction of the central AI platform has sustainably modernized the way employees work. By bundling AI services in one place, the time-consuming process of switching between different applications is eliminated, noticeably increasing daily efficiency. The intelligent document search, in particular, has established itself as a valuable tool: instead of manually searching through extensive documentation, employees now receive precise answers from internal policies and manuals in seconds. This significantly accelerates the onboarding of new employees and the handling of complex inquiries.
The high adoption rate of the platform and consistently positive user feedback confirm the success of this approach. The solution has established itself as a stable, high-performance service that meets rigorous security and compliance standards. Through centralized delivery, all departments benefit equally from new features and model improvements without the need for decentralized installations or complex maintenance processes. New features—such as more powerful language models—can be deployed centrally and are immediately available to users. This keeps the platform technologically up-to-date while keeping the operational burden on individual departments to a minimum.
