MCCM Wiki
Vendor invoice triage with AI
Vendor invoice triage with AI should classify exceptions, draft questions to suppliers, and summarize mismatches after totals come from AP systems. The model must not invent amounts, VAT, or bank details.
AP teams lose hours hunting missing POs and weird line items. AI can prepare the triage queue. Humans still own payment risk.
Scope that is safe
Incoming mail or PDF to: missing PO flag, duplicate suspicion note, and a draft supplier email. Out of scope: changing payment data, approving payment, or “fixing” totals in the ledger.
Baseline before automate
Time one week of exception handling. Count volume and average handle time. That baseline decides go/no-go later. Without it every demo looks like a win.
Review and dual control
Triage drafts go to AP owners. Payment stays on existing dual-control rules. If AI proposes a vendor bank change, fail closed and escalate. Treat that as a security event pattern, not a convenience feature.
KPI
Primary: hours returned on exception handling or cycle time to cleared exception. Secondary: false duplicate flags that waste supplier goodwill. Keep a human review gate on every outbound supplier message.
Pilot with MCCM
We map the AP path in a short AI audit, pick one exception type, and run a 6–10 week pilot with rollback to the manual queue.
Related
GDPR-safe AI workflows · Reporting automation with AI · What an AI audit should deliver