If You Work in a Regulated Industry, Public LLM APIs Are Usually the Wrong Place to Start
A lot of teams get excited about AI in the same predictable way. Someone tries ChatGPT or another public model, sees how quickly it summarizes documents or drafts responses, and immediately starts asking how to wire it into real workflows. In normal ...
Ali Muwwakkil
A surprising insight from our work with regulated industries is that integrating large language models (LLMs) directly into workflows isn't the main challenge. The real hurdle is ensuring LLM outputs are reliable and compliant with industry standards. One practical framework we use involves a "human-in-the-loop" system where AI suggestions are reviewed by experts before implementation. This method helps bridge the gap between innovative AI capabilities and strict regulatory requirements. - Ali Muwwakkil (ali-muwwakkil on LinkedIn)