agorum Core Platform: Essential for Developing Enterprise AI

Most enterprise AI projects fail not due to the AI technology itself, but due to inadequate data architecture and platform. Agrum CEO Daniela Lutz highlights that over 80% of companies struggle to scale AI because the platform used is not tailored to the company's own data.

According to Gartner, up to 60% of AI projects will be abandoned by the end of 2026 if not supported by properly prepared data. Particularly for generative AI initiatives, over 50% of projects halt after the proof-of-concept phase, with data quality issues cited as the most common reason.

"Companies buy AI tools without answering the question, with what data should these tools actually be used?", Lutz states. "They invest in language models, but not in the infrastructure that makes the model intelligent. The result is an AI that sounds convincing but does not deliver company-specific answers." Microsoft's research shows 80% of employees find routine tasks and information search hindering more valuable work. Agrum's view is that the solution is not just a better language model, but a platform that structures and connects company data to create a reliable knowledge base for AI. agrum's own solution, agorum core pro, combines a Document Management System (DMS) with an AI platform. It supports multiple language models (Multi-LLM) and offers open-source, allowing for local solutions compliant with EU data protection regulations. In comparisons, agorum core pro stands out by offering integrated AI and a flexible platform meeting companies' needs for data management and AI utilization.