AI agents for finance automation across AP, AR, and cash management
Auditoria.AI builds agentic AI specifically for back-office finance workflows—accounts payable, accounts receivable, vendor management, and general ledger. The stack (Python, Go, LangGraph, LangChain, RAG, Workday, SAP, Oracle Cloud Finance, Neo4j) reflects a company architecting multi-agent systems with knowledge graphs and semantic search, not simple RPA. The project list (AI model orchestration, multi-agent frameworks, agentic AI-powered SaaS platform) and hiring velocity (8 engineering roles, heavy senior/lead emphasis) signal aggressive buildout of agent-coordination logic and ERP connectors—addressing the stated pain of "heavy IT involvement" by embedding deep domain expertise into the agents themselves.
Auditoria.AI automates high-volume, exception-driven finance processes by deploying AI agents that connect directly to ERPs (Workday, SAP, Oracle), shared inboxes, and accounting systems. The agents understand finance-specific requests in natural language and execute actions—responding to vendor inquiries, processing invoices, advancing collections, updating general ledger records—without rigid rules or manual escalation. The company targets mid-market finance teams struggling with attrition, manual spreadsheet work, and slow cash cycles. The platform integrates into existing ERP environments and generates structured data for visibility and reporting. Founded in 2019 and headquartered in Santa Clara, the company operates as a privately held organization and is currently hiring across engineering and sales in the United States and India.
Python, Go, Node.js, LangGraph, LangChain, RAG, Kubernetes, Neo4j, React, TypeScript, plus integrations with Workday, SAP ERP, Oracle Cloud Finance, AWS, and SAP Integration Suite.
Workday, SAP ERP, Oracle Cloud Finance, shared inboxes, and general accounting systems. The company has active projects for Workday integration connectors and multi-agent frameworks for financial operations.
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