AI Three-Way Invoice Automation

I want to put the entire accounts-payable flow on autopilot with a machine-learning core. Bills arrive as scanned documents; from there the system must:

Deliverables
• Accurately capture every header and line-item field from the scan, ready for export.
• Run a true three-way match—quantity ordered vs. received vs. billed, price on PO vs. invoice, and SKU identity.
• Apply tolerance-based rules so routine matches move straight to auto-approval.
• Trigger landed-cost allocation and the corresponding GL postings the moment an invoice clears.
• Route anything outside tolerance to an exception inbox that is already triaged into price variance, quantity variance, missing PO, suspected duplicate, or missing receipt.

Acceptance criteria
Data-capture accuracy ≥ 95 %, three-way match latency < 3 seconds per invoice, zero false auto-approvals above tolerance, and an API or webhook that pushes cleared transactions back to our ERP.

If you have proven ML pipelines for document understanding, matching algorithms, and exception-handling workflows, let's talk.