The article argues that AI's true value in database querying lies not in one-off questions, but in establishing repeatable reporting workflows. While initial AI interactions can provide quick answers, recurring business needs require a more structured approach. This involves defining data sources, business context, frequency, recipients, and logging for AI-driven reports, transforming ad-hoc prompts into dependable operational processes. Conexor is developing infrastructure to support these repeatable AI reporting workflows. AI
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IMPACT Suggests a shift from ad-hoc AI queries to structured, repeatable AI reporting workflows for operational efficiency.
RANK_REASON The article discusses a product/infrastructure layer for AI reporting, not a new model release or core research.