From Rules to Reasoning: Three LLM Roles That Complete the Enterprise App
Last Updated on September 4, 2025 by Editorial Team
Author(s): Sanjay Krishna Anbalagan
Originally published on Towards AI.
The Question (hook)
Where should LLMs plug into an enterprise app — without a rewrite — and what exact jobs should they do? The answer isn’t “everywhere.” It’s only where ambiguity sneaks in.
The article discusses how large language models (LLMs) can enhance enterprise applications without necessitating a complete rewrite. It emphasizes identifying specific areas where LLMs can effectively address ambiguity in user input, illustrating a duality between traditional rule-based logic and LLM-assisted interpretations. The piece outlines three critical roles for LLMs within enterprise environments: Action Agents, Domain Agents, and Workflow Routers, each serving to bridge gaps where deterministic rule-based methods fail, ultimately creating a resilient system that leverages both rules and reasoning.
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Note: Article content contains the views of the contributing authors and not Towards AI.
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