Accounts payable · Production

Basware AI and ML capabilities automate invoice capture, coding, matching, and predictive payment analytics across the procure-to-pay cycle

The problem

Accounts payable teams face manual effort and errors in invoice processing, including PDF data extraction, coding of non-PO invoices, and exception handling, while traditional matching approaches create further manual overhead.

Workflow diagram · grounded in source
1
Invoice received from supplier
trigger
“Whether a new supplier sends an invoice for the first time or an existing supplier changes invoice formats, the self-learning system automatically adjusts”
2
SmartPDF converts PDF to e-invoice
ai_action
“Basware automates the conversion of machine-readable PDFs to e-invoices consistently with above 97% accuracy, requiring extremely minimal manual effort. Unlike optical character recognition (OCR) technology that relies on mapping each in…”
3
Advanced Matching for PO invoices
ai_action
“Basware solutions enable the use of any combination of invoices, POs, goods receipts, quality checks, contracts, etc. at the line or header level for straight-through processing of PO-based invoices”
4
SmartCoding for non-PO invoices
ai_action
“SmartCoding technology automatically searches and analyzes historical data to recommend appropriate coding for non-PO invoices. By leveraging and learning from company financial data, the technology continuously improves the accuracy of …”
5
Exception handling teaches AI
feedback_loop
“Once your AP staff teaches the AI how to handle an exception, it will never ask the same question again”
6
Predictive analytics flags late payment risk
ai_action
“identify invoices at risk of being paid late, enabling organizations to prevent late payments, capture early payment discounts, and optimize cashflow”
Reported outcome

Basware's AI converts machine-readable PDFs to e-invoices with above 97% accuracy requiring minimal manual effort, automates coding of non-PO invoices, and enables early payment discount capture, with one anonymous customer reporting 96% of invoices sent as e-invoices and substantial transaction-level savings.

Reported metrics
SmartPDF e-invoice conversion accuracyabove 97%
E-invoices share (anonymous customer)96%
Transaction-level savingsSubstantial savings at transaction level
Invoice processing time and costsave time and money when processing invoices
Show all 5 reported metrics
SmartPDF e-invoice conversion accuracyabove 97%
e-invoices share (anonymous customer)96%
transaction-level savingsSubstantial savings at transaction level
invoice processing time and costsave time and money when processing invoices
AP team time savingssaves a tremendous amount of time
Reported stack
SmartPDFSmartCoding
Source
https://www.basware.com/en/why-basware/advanced-cloud-technology/ai-and-machine-learning/
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Basware's AI converts machine-readable PDFs to e-invoices with above 97% accuracy requiring minimal manual effort, automates coding of non-PO invoices, and enables early payment discount capture, with one anonymous cu…

What tools did this team use?

SmartPDF, SmartCoding.

What results were reported?

SmartPDF e-invoice conversion accuracy: above 97%; E-invoices share (anonymous customer): 96%; Transaction-level savings: Substantial savings at transaction level; Invoice processing time and cost: save time and money when processing invoices (source-reported, not independently verified).

How is this accounts payable AI workflow structured?

Invoice received from supplier → SmartPDF converts PDF to e-invoice → Advanced Matching for PO invoices → SmartCoding for non-PO invoices → Exception handling teaches AI → Predictive analytics flags late payment risk.

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