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This paper proposes an ontology-driven framework to ensure trustworthiness and auditability in large language model analytics for enterprise financial applications.
Enterprise finance teams are struggling with AI implementations, but dedicated background agents can automate repetitive tasks like invoice matching and bank reconciliation, delivering measurable ROI. Varick Agents claims to have helped clients reduce month-end close from 12 to 5 days and save $45M annually.