This article proposes a robust two-stage pipeline for processing CRM sales call notes using LLMs in Node.js. The first stage involves an LLM generating a structured JSON object with predefined action types, confidence scores, and supporting evidence. The second stage employs schema validation and a deterministic policy to ensure the LLM's output is safe and accurate before writing to the CRM, preventing misinterpretations from becoming commitments. AI
IMPACT Provides a practical framework for integrating LLMs into business workflows, emphasizing data validation to ensure reliable CRM actions.
RANK_REASON The article describes a technical implementation for using LLMs with CRM data, focusing on practical application rather than a novel research finding or product release.
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