accounts_payable · workflow
Basware AI and ML capabilities automate invoice capture, coding, matching, and predictive payment analytics across the procure-to-pay cycle
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.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Invoice received from supplier
Whether a new supplier sends an invoice for the first time or an existing supplier changes invoice formats, the self-learning system automatically adjusts.
Tools used
SmartPDFSmartCoding
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.
Results
Time savedsaves a tremendous amount of time
Volumeabove 97%
Cost replacedsave time and money when processing invoices
Grounding & classification
Source type: generic use case
26 fields verified against source quotes.
data extractiondocument aidocument classificationpredictive analyticsinvoicepurchase ordermetric backedtools describedvendor confirmedworkflow describedaccuracy improvementautomation ratecost reductiontime savedgeneric use caseaccounts payableinvoice processingprocurementdocument to recordextract classify route