AI agents represent a significant technological milestone, evolving from simple chatbots like ChatGPT to performing tasks autonomously across various sectors. Recent advancements in AI, particularly in machine learning and natural language processing, have driven this evolution.
Integrating LLMs into complex application experiences presents many challenges. As task complexity increases, traditional language models often struggle with precision, context handling, and task integration, sometimes resulting in inaccurate or out-of-context outputs.
Building on our recent article about the potential of AI workers, we look at examples of the evolution from conventional methods to AI-driven processes in regulated fields such as Information Security, Law, and Finance.