Finance is a costly outlier.
For most operations, greater volumes lead to greater efficiency. Not finance departments. The cost of running a traditional financial system contracts or expands in direct proportion to the amount of business conducted.
Digital payment rails have matured to enable zero-fee transfers, institutional scale stablecoin settlements and cross-border payouts within hours. Yet, staff members remain front and center. More than half of finance processes are done manually.
To build new efficiency without the headcount, financial systems are incorporating agentic AI. These AI agents code, run collections and reconcile accounts automatically, based on a learned policy.
A fifth of CFOs have adopted agentic AI, according to Deloitte.
Agentic AI + digital payment rails
Finance departments get the best results by combining agentic AI with mature digital payment, according to Paystand, a Payments-as-a-Service firm.
Here are three workflows where agents and rails produce outcomes neither could deliver alone:
- Accounts Receivable. The agent prioritizes collections by payer behavior. The rail – bank-network payment and zero fee – handles the money. Cash applies at settlement. DSO, fee load and reconciliation labor decline at the same time. Cutting one no longer breaks another.
- Expense and Cards. The agent enforces policy before the swipe, in tools employees already use like Slack and Microsoft Teams. The agent posts the transaction to the ERP as a coded bill – not a card charge to reclassify at close. Control moves from post-hoc reconciliation to pre-transaction enforcement.
- Global Payouts. The agent runs dual approval and OFAC screening automatically. The network – stablecoin settlement to local bank deposits in vendor currency, same-day, at a flat rate rather than the 2.5% to 6% buried in traditional wires – moves the money. Together, they are same-day global payouts with enterprise-grade controls.
In each case, operations no longer scale in tandem with business growth.
Tangible benefits
Cost savings across these processes could range from 30% to 50%, according to McKinsey. That adds up when you consider that real-time payment volume is growing more than 20% CAGR globally, according to ACI Worldwide.
Clients who adopted rail-agentic solutions noticed that:
- Accounts receivable lowered its DSO by 80% and reduced per-transaction fees by 98%
- Expenses and Card spend dropped 5% in the first 6 months.
- Global Payouts provided same-day settlement in more than 190 countries, via a flat rate instead of the standard wire rates of 2.5% to 6%.
- Customers averaging $50 million in volume saved more than 50% in transaction fees, which, over three years, equates to about $1.2 million.
2 possible roadmaps
There are two ways to get these results.
One is to assemble separate tools for AR, spend and payouts, resulting in three contracts, integrations and account teams, which can increase cost. Custom integrations take about 37% of the time it takes to provide an IT solution, according to MuleSoft. Diligent estimates that only 4% of financial organizations fully integrate a system. It may also recreate the disconnection they were meant to solve. However, this bespoke approach may provide greater feature depth.
The other is to partner with a solution that unifies AR, expense, and payouts into one network — where the CFO has the flexibility to deploy all or some capabilities now or in the future, while the agents benefit from the same unified data layer across every workflow.
Agentic finance criteria
Agentic AI works best on high-volume, repeatable workflows and where data is documented and unified. It struggles when staff must make judgment calls across varied situations or when data quality is poor. Other requirements include auditability, policy-driven execution (as opposed to black-box AI) and integration with core financial systems.
The goal isn’t AI-assisted finance; it’s finance on a fundamentally different economic foundation, says Allison Steitz, head of product marketing at Paystand.
“Agentic systems change the dynamic by running the work and clearing the money in the same motion, which decouples cost from volume. Growth begins to compound efficiency rather than cost, which is a fundamentally different economic model — and it’s the one claim in the current agentic AI conversation that a CFO can take straight to a board,” Steitz says.
No longer does finance slow business down. Instead, business growth fuels further efficiencies. CFOs positioned to break free of finance’s outlier status stop buying features and, instead, adopt systems.