Intelligent Exception Detection & Classification
ML-powered classification across all invoice exception types — price variance, missing PO, duplicate, coding error, and more.
Six capability pillars — from multi-channel ingestion and 3-way match to root cause analysis, vendor communication, and audit trails — driving straight-through processing above 85%.
ML-powered classification across all invoice exception types — price variance, missing PO, duplicate, coding error, and more.
Real-time reconciliation of PO, goods receipt note, and supplier invoice against live ERP data — complete in under 800ms.
Root cause analysis identifies whether exceptions stem from vendor error, PO misalignment, receiving discrepancy, or catalogue price drift.
Dynamic routing assigns each exception to the optimal resolver based on type, invoice value, vendor tier, and current workload.
Fuzzy-match engine checks invoices against 24 months of payment history — catching near-duplicates that exact-match rules miss.
Real-time AP dashboard: exception rate by vendor, resolution cycle time, SLA compliance, and straight-through processing rate.
Six capability pillars — from multi-channel ingestion and 3-way match to root cause analysis, vendor communication, and audit trails — driving straight-through processing above 85%.
ML-powered classification across all invoice exception types — price variance, missing PO, duplicate, coding error, and more.
Real-time reconciliation of PO, goods receipt note, and supplier invoice against live ERP data — complete in under 800ms.
Root cause analysis identifies whether exceptions stem from vendor error, PO misalignment, receiving discrepancy, or catalogue price drift.
Dynamic routing assigns each exception to the optimal resolver based on type, invoice value, vendor tier, and current workload.
Fuzzy-match engine checks invoices against 24 months of payment history — catching near-duplicates that exact-match rules miss.
Real-time AP dashboard: exception rate by vendor, resolution cycle time, SLA compliance, and straight-through processing rate.
Five to ten times the cost of a clean invoice — and exceptions hit 25–30% of all invoices received. The AI Invoice Exception Handler reduces that rate to under 4% at under $9 per exception. For 10,000 invoices per month, that's $2.5M–$4.8M in annual savings. Book an AP exception audit to model the exact figure for your volume.
Get Your AP Exception Cost Audit
Top AP teams achieve sub-3% exception rates vs. a 25%+ average (Aberdeen Group). The AI handler auto-resolves within-tolerance variances and routes only genuine judgment calls to humans — cutting volume by 80%+.
Most enterprises capture fewer than 30% of available early payment discounts because exceptions stall cycles past the window. The agent flags approaching deadlines and fast-tracks those invoices.
Every exception is logged with the full decision chain — rule triggered, data compared, tolerance applied, who acted, and when. SOX and AP audit evidence generated by design.
Certified integrations for leading ERP, AP automation, and invoice processing platforms — live in weeks with no disruption to current AP operations.
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Everything enterprise AP leaders need to know about deploying an AI Invoice Exception Handler — from exception coverage and 3-way match logic to implementation timelines and measurable ROI.
Contact Our TeamAI invoice processing uses machine learning to capture, validate, match, and post supplier invoices with minimal human touch.
Standard AP automation routes every exception to a human queue. Bonami's agent classifies each exception by type and root cause, applies resolution rules autonomously, generates vendor correction requests, and manages SLA escalations, so human AP teams only handle exceptions that genuinely require judgement or policy override.
It covers the full AP exception spectrum: price variances (~40%) resolved via contract pricing and tolerance rules, missing/invalid POs (~25%) matched by fuzzy logic, quantity mismatches (~20%) reconciled against goods receipt data, and duplicates (~10%) caught by fuzzy-match.
The agent pulls live data simultaneously from the purchase order, goods receipt note, and supplier invoice, then compares quantity and unit price at line-item level.
Rules-based detection only catches exact matches on invoice number and amount. The AI handler scores similarity across vendor name, invoice number, amount, date, and bank account, catching near-duplicates rules miss — each flagged with a confidence score.
Yes. Tolerance rules are managed in a no-code policy engine accessible to AP operations managers without engineering involvement.
Certified native integrations cover SAP S/4HANA (FI-AP via RFC and OData), Oracle Fusion Financials, Coupa, Basware, Tipalti, and Tungsten Network.
Standard implementation runs 8–10 weeks: ERP connector setup and sandbox testing, parallel-run validation against your live queue, phased go-live by invoice type or vendor group, then optimisation and handover.
Manual exception processing costs $50–$120 each; AI-resolved exceptions cost under $9 — an 85–92% reduction. For 10,000 invoices per month at a 25% exception rate, that's $1M–$2.8M in direct annual savings.
Most AP automation software captures and routes invoices, then drops every exception into a human queue. Bonami goes further as automated invoice processing that classifies each exception by type and root cause, runs 3-way match against live ERP data, and resolves within-tolerance variances autonomously.
It works alongside your existing stack and adds the accounts payable automation layer most teams are missing. Bonami invoice processing software connects to SAP, Oracle, Coupa, Basware, Tipalti, and Tungsten Network through certified integrations, so ai invoice processing runs on top of your current ERP and AP platforms with no rip and replace.