Invoice PO Matching Agent for Manufacturing Industry: 4-Week PoC
MAQ Software
The Challenge
Manufacturers reconcile every supplier invoice against a purchase order before paying it, and that reconciliation is still mostly manual — an AP analyst checking header totals and line items by eye, often taking 10-15 minutes per invoice once approval routing is included. Across hundreds of invoices a week, multiple plants, blanket POs, and raw material price volatility, mismatches slip through often, triggering multi-day back-and-forth between procurement, receiving, and finance — or worse, an overpayment, duplicate payment, or strained supplier relationship with no clear rationale to point to later.
MAQ Software's Invoice PO Matching Agent is a multi-agent system, built on Microsoft Agent Framework and Azure OpenAI, where three specialized agents — Extraction, Comparison, and Report — each own one part of the matching decision and work together to produce a single, explainable recommendation per invoice. A deterministic fallback engine keeps matching running even without live AI connectivity.
Key questions
- How much AP analyst time goes into manually checking invoices against POs instead of resolving real exceptions?
- When a mismatch slips through, how many days does it take to track down why?
- Can you produce a clear, line-by-line rationale for why an invoice was approved despite a variance?
- How many discrepancies trace back to manual entry or inconsistent PO formats across plants?
- What would it mean if clean, policy-compliant invoices could clear matching in minutes?
Our approach
- Week 1: Connect & Configure — Connect to your invoice and PO data (CSV/Excel from your ERP) and configure the three agents against your matching tolerances.
- Weeks 2-3: Run & Validate — Run the workflow against real or historical invoices; compare agent risk scores and recommendations against actual AP dispositions via the Streamlit dashboard.
- Week 4: Review & Refine — Walk through discrepancy narratives with your AP/procurement team, refine tolerances, and finalize a scoped path to production.
Deliverables
- Configured Three-Agent Matching Workflow — Extraction, Comparison, and Report agents tuned to your invoice formats and tolerances
- Header + Line-Level Matching Engine — Validates invoice number, dates, totals, quantity, unit price, and line totals
- Procurement Risk Scoring & Recommendations — Severity-based scores feeding actionable corrective actions
- AI-Generated Discrepancy Narratives — Plain-language explanations ready for finance and procurement review
- Validation Summary — Agent recommendations vs. actual AP dispositions on the same invoices
- Production Rollout Plan — Scoped plan including ERP integration and data gaps to close
Business impact
- 3 specialized AI agents covering extraction, comparison, and reporting — not a single black-box check
- 100% automated validation across header and line-item data on every invoice processed
- Header + line, multi-level matching that catches discrepancies a totals-only review would miss
- Move routine invoices from 10-15 minutes of manual review toward decisions in minutes
- Reduce rework, overpayments, and duplicate payments tied to manual entry and inconsistent PO formats
- Every recommendation comes with a transparent, risk-scored rationale, ready for audit scrutiny
Who benefits
Users: AP/Finance Analysts, Procurement Specialists, Plant & Supply Chain Ops, Audit & Compliance
Decision makers: CFO, Controller, VP of Procurement/Supply Chain, Head of Shared Services
Prerequisites
- Invoice and PO data (CSV/Excel from your ERP) for a defined sample of transactions
- Documented matching tolerances (price variance, quantity, header-field matches)
- AP/procurement team availability to review recommendations in Weeks 2-4
- Azure OpenAI access provisioned within your tenant
Why MAQ Software
- Already in active development — a working multi-agent PoC with an interactive Streamlit dashboard
- Built for auditability — every match comes with a transparent, AI-generated narrative
- Resilient by design — deterministic fallback engine keeps matching running without live AI connectivity
- Clear path forward — scoped to validate against your real data before any production commitment
Contact us: CustomerSuccess@MAQSoftware.com to schedule your PoC and see three AI agents turn manual invoice auditing into minutes.