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Paystand is making a direct pitch to finance leaders: the cost structure of B2B payment collection is itself a growth inhibitor, and the company’s subscription-priced network is positioned as the fix. The argument centers on what Paystand Sales Director Mike Cartmill calls the “growth tax,” the nonlinear compounding of transaction fees, reconciliation labor, and days-sales-outstanding drag as invoice volumes scale. Credit card processing runs roughly 3% per transaction, ACH fees have crept upward, and manual reconciliation that takes an hour at 50 invoices a month can triple in burden at 500. The payments optimization case also folds in AI-driven collections automation and ERP integration as tools to shrink DSO and reallocate finance staff toward higher-value work.
What this means for your business
The companies most exposed here are mid-market B2B businesses sitting in the 200-to-2,000 invoices-per-month range, past the point where manual reconciliation is manageable but not yet large enough to have negotiated custom payment rails. If your finance team’s month-end close is getting longer as revenue grows, that’s the tell. Companies already on modern ERP platforms with clean data pipelines are better positioned to capture these gains quickly; companies on fragmented or aging systems will find the integration promise harder to cash in on.
The nonlinear cost argument is the analytically interesting piece, and it holds up. Reconciliation exceptions don’t scale with invoice volume, they scale with invoice diversity: new customers bring new payment terms, remittance formats, and one-off requirements that each demand human judgment. That’s why doubling invoices can triple reconciliation hours. Subscription pricing neutralizes the transaction-fee component, but it doesn’t automatically solve the exception-handling problem. AI-assisted cash application, where the system matches incoming payments to open invoices without human intervention, is the operational mechanism that actually addresses it, and the quality of that matching depends heavily on how clean and standardized the underlying data is.
The close worth considering isn’t whether to modernize payments infrastructure but when the current setup breaks visibly enough to force action. Finance teams tend to absorb rising reconciliation costs as a staffing problem rather than a systems problem, adding headcount instead of changing the architecture. That misdiagnosis is expensive, and the tariff and rate environment Cartmill cites makes it more expensive now than it was two years ago. The budget question to revisit isn’t payments software spend; it’s whether the fully loaded cost of your current AR team, including overtime and error remediation, has quietly become the larger line item.
Based on reporting from How payments optimization helps growing companies scale sustainably, originally published 2026-07-27 05:00:00.
