Finance and accounting firms must embrace agentic retrieval-augmented generation (RAG) to ground large language models in proprietary data, automate tasks, and generate insights. Kyle Tushaus, Managing General Partner at New West Capital, details how integrating LLMs with SQL and vector databases enables automated financial adjustments, streamlines 10-K/10-Q reporting workflows, and powers custom agents for analytical queries.