The Mixture of Agent (MoA) architecture is a sophisticated framework designed to leverage the strengths of multiple specialized agents working collaboratively to solve complex problems. At its core, this architecture integrates various agents, each with distinct roles and capabilities, to operate in a cohesive manner.

AI's role in auditing is multifaceted, enhancing precision, speed, and efficiency across all stages of the audit process. Initially, AI aids in establishing priority areas by analyzing vast datasets to identify patterns, anomalies, or areas of potential risk.

The fusion of Retrieval-Augmented Generation (RAG), SQL-based text querying, and Large Language Models (LLMs) is creating this new reality, transforming how businesses across various sectors leverage data for strategic decision-making. This AI-driven synergy is reshaping the business landscape, offering unprecedented access to tailor-made knowledge and insights.