Business analysts and data engineering teams spend up to 40% of their working hours answering repetitive ad-hoc data requests from non-technical stakeholders: "What were gross sales in the Midwest last month?", "Which customer accounts are up for renewal next week?", or "How did marketing CAC change after our recent campaign?". Traditional self-service BI dashboards fail because they are rigid—the moment an executive needs an un-modeled slice or an ad-hoc comparison, they must submit a ticket to the data team. Simultaneously, naive attempts to build text-to-SQL chatbots by stuffing raw database schemas into generic LLM prompts fail catastrophically: models hallucinate non-existent table joins, invent incorrect metric calculations, and generate syntactically broken or slow SQL queries. Codersarts provides enterprise text-to-SQL chatbot development services. We architect governed, conversational analytics assistants powered by Snowflake Cortex Analyst, Databricks AI/BI Genie, and Vanna AI. We build rigorous semantic data models (YAML/LookML/dbt), enforce strict metric definitions, configure fine-grained role-based data security, and implement interactive chat interfaces in Streamlit, Slack, or Microsoft Teams—enabling business users to receive accurate answers, interactive charts, and verifiable SQL queries in seconds.