Most AR software evaluations stall because teams over-scope the requirements document and under-test the actual workflow. Here is a faster path that finance leaders have used successfully in 2026.
Start with one bottleneck metric, not a feature wish list. Is your primary pain collections throughput, how many overdue invoices get touched per week? Cash application accuracy, what share of payments require manual research before posting? Deduction resolution cycle time? Identify the one metric you would most want to move in 90 days. That bottleneck determines which platform wins the evaluation; everything else is noise.
Run a live document test, not a curated demo. Give every shortlisted vendor a sample of your actual remittance advices, PDFs, bank portal exports, EDI files, email attachments. Ask each platform to demonstrate ingestion and matching on your documents. The capability gap between first-generation OCR platforms and vision-language-model systems becomes obvious within 20 minutes on real data. Vendor demo datasets are designed to make every platform look equivalent; yours are not.
Ask for two reference calls at your ERP and volume. G2 reviews are useful directional signals, but a 15-minute conversation with a finance director running your ERP at your monthly invoice volume tells you more than any feature matrix. If a vendor cannot surface two references in your ERP and size band within a week, treat that as a signal about their installed base in your segment.
If you want a working session on your specific AR stack before committing to a formal evaluation, Book a Call, bring an AR aging snapshot and we will show you exactly where the gaps are, using your data rather than a generic walkthrough.