Integrating artificial intelligence into business logic forces engineers to navigate a tight balance between convenience, private data security, and latency guarantees.
Using third-party APIs (like OpenAI or Anthropic) provides immediate high-quality text completion but introduces structural privacy vulnerabilities: sending customer interaction history and proprietary source files outside the secure company perimeter. We evaluate running fine-tuned open-source models inside private clouds as a robust alternative.