Vendor Master Clean-upYour vendor master, checked daily and kept clean.

A clean vendor master is the foundation of strong AP controls. Dirty vendor data quietly drives duplicate payments, fraud exposure, and reporting errors. We work at two levels: AP.guru monitors your vendor file continuously, and when it’s time to fix it at the root, we go deeper.

Two levels of control

Monitor it continuously. Clean it deeply.

Level 1 · AP.guru

Always on

AP.guru keeps an eye on your vendor file every day, surfacing duplicates, data-standard issues, and risky activity as it happens.

Level 2 · The deep dive

Periodic

When it’s time to fix the file at the root, we go deeper, standardizing, enriching, and de-duplicating every record so it’s truly clean.

Level 1 · What AP.guru watches

Continuous vendor-master monitoring.

Duplicate vendors

Flags duplicate and near-duplicate vendor records before they turn into duplicate payments.

Data-standard checks

Catches records that break your basic data standards: missing tax IDs, invalid addresses, inconsistent naming.

Vendor-creation trends

Trends how many new vendors are being created over time, so spikes and anomalies stand out.

Who’s creating vendors

Shows exactly who is adding vendor records: visibility most teams simply don’t have.

At-risk vendors

Flags segregation-of-duties risk: the same user who created a vendor also entered its invoice, a classic fraud red flag.

AP.guru
Level 2 · The deep dive

Clean it at the root.

A full pass over your vendor file that fixes the data itself, not just flags it. We use AI to enrich every record, then a second AI model validates and corrects the output. Higher accuracy than any single-model approach, and every result is confidence-scored before it goes back into your ERP.

Standardize every field

Names, addresses, phone numbers, and emails normalized to consistent industry standards: legal-entity naming, address formats, and international phone formats.

Dual-LLM enrichment

Two large language models work in sequence on every vendor record. The first enriches, filling in missing addresses, contact details, and industry data from public sources. A second model independently validates and corrects the output, catching errors the first pass missed.

NAICS industry classification

Every vendor gets an official 6-digit NAICS code, validated against the current Census Bureau standard. Accurate industry tagging drives cleaner analytics and audit-ready spend reporting.

Advanced duplicate clustering

Find true duplicates across ERPs and source systems using similarity scoring, not just exact matches. Catches the ones your current dedup logic has always missed.

Confidence-scored output

Every enriched field carries a confidence score. Low-confidence records are flagged for human review rather than auto-loaded, so the cleaned file is safe to push back into SAP, Oracle, or your MDM without surprises.

AP.guru

The result: a vendor master you can trust, with fewer duplicate payments, less fraud exposure, and reporting that finally ties out.

Related: Duplicate Payments

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