Implement or Legalize: Why AI Doesn't Work Like Traditional Software

The author analyzes the challenges of integrating neural network solutions into corporate environments, comparing them to traditional ERP systems or office suites. The core issue is that AI requires specific operational conditions, especially when handling confidential data within a closed perimeter. The article cites a failed tender where a requirement to translate documents using AI clashed with the inability to use cloud services and a lack of suitable local solutions. The author details why attempts to simply 'distribute' AI to employees often fail, outlines the technical and infrastructure constraints businesses face when working with LLMs, and offers practical approaches to solving such tasks. The material emphasizes that successful AI integration requires rethinking architecture and security approaches rather than merely purchasing a finished product.