Many AI tools today can perform individual tasks with high accuracy, often surpassing 98%. However, in complex multi-step workflows common in financial services, legal, and insurance sectors, small errors accumulate, causing overall accuracy to drop to 30–40% by the final step. This “compound error” issue prevents companies from adopting AI at scale due to unreliable…