Payables and receivables that read their own documents.
AI Native AP & AR parses incoming finance documents in whatever format they arrive, runs 3-way matching against purchase orders and receipts, reconciles payments agentically, and collects outstanding credit on its own.
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AI Native AP & AR in context
AI Native AP & AR parses invoices, bills, and remittances straight out of the documents they arrive in, runs 3-way matching against purchase orders and receipts, reconciles payments agentically, and chases outstanding credit on its own.
AP and AR run on documents that arrive in every format imaginable, then depend on people to key them in, match them against POs and receipts, reconcile the payments, and chase what is overdue by hand.
AI Native AP & AR parses incoming finance documents in whatever format they arrive, runs 3-way matching against purchase orders and receipts, reconciles payments agentically, and collects outstanding credit on its own. The goal is simple: remove operational drag so small teams can respond faster and execute with more confidence.
How teams use AI Native AP & AR day to day
Teams typically see value quickly because they can adopt AI Native AP & AR without changing how customers already interact with them.
Parses invoices, bills, and remittances agentically, without per-vendor templates.
Runs 3-way matching across invoice, purchase order, and goods receipt.
Reconciles payments against both ledgers agentically.
Chases outstanding credit and escalates exceptions with full document context.
- Finance documents arrive in any format and are parsed on the way in
- 3-way matching and agentic reconciliation clear what lines up
- Credit collection chases the rest; people handle exceptions
Proof and recognition
Developed as RUI Labs' in-house finance operations layer.
Tech stack: Agentic document parsing, Agentic credit collection, Agentic reconciliation, 3-way matching, LLM.
If this product matches your operating pain point, we can scope a practical pilot with your team.
Talk to RUI Labs— Written by the RUI Labs team