From "Afraid to Use" to "Confident to Act": Transparent Query Reasoning Solves NL2SQL Trust Gaps
Many enterprises struggle with low adoption of Natural Language to SQL (NL2SQL) tools, despite high deployment rates, due to a lack of user trust. Business users often cannot verify the AI-generated SQL queries, leading to skepticism even when accuracy is high. A new approach focuses on transparent query reasoning, making the AI's decision-making process visible to users to build confidence and enable independent data analysis. AI
IMPACT Transparent reasoning in NL2SQL tools could increase enterprise adoption by building user trust and enabling independent data analysis.