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.

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