While AI models are constantly improving, they often fail to grasp the specific context, unique workflows, and internal logic of an enterprise, leading to frequent hallucinations. Karl Simon, CTO at Subatomic AI, argues that the solution lies in transitioning from simple model queries to agentic workflows. By embedding cognitive knowledge and step-by-step guidance into the AI, companies can ensure that models don't just guess, but actually reason and synthesize answers aligned with business reality. It is a shift from viewing AI as a standalone tool to building it as an integrated operational capacity.
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