Accounts Payable Holds the Key to Smarter Working Capital Decisions

Moving money used to be the product. Today, it’s becoming a commodity.

“Execution itself is becoming commoditized. The durable value sits in the quality of the decision and the intelligence behind it,” Tungsten Automation Chief Product Officer Danielle Weinblatt told PYMNTS for the B2B Payments 2026 event, “The B2B Payments Agentic Enterprise: Trusted Data Comes Before AI Payment Decisions.”

As accounts payable software absorbs more of the information surrounding a transaction, from invoice data and purchase orders to supplier preferences, discount windows and working capital constraints, the competitive battleground in B2B payments is shifting upstream.

“Today, capture of the invoice, compliance rules, connectivity, execution of the payment, they usually live in different systems, so the context will die at the handoff,” Weinblatt said, adding that the problem is that each handoff can strip away context.

But bring those functions together, and the economics begin to change.

AI Can Move the Money, but Finance Still Has to Decide When It Should

The important question for today’s chief financial officers is becoming less whether a platform can execute a payment than whether it knows enough about the transaction to determine how and when that payment should happen.

“You stop merely executing a transfer and start making a decision,” Weinblatt said. “The right rail, the right timing, the right controls.”

Across today’s solutions, the payment layer can inherit the negotiated terms on an invoice, the available discount window, verified banking details, supplier payment preferences, approval history and outstanding disputes. Instead of simply receiving an instruction to send $50,000 to a bank account, the system can determine whether that $50,000 should move today, next week or through a different payment rail altogether.

Artificial intelligence makes that information more useful, but only if the underlying transaction has already been converted into something a machine can reliably reason over. As a result, payment optimization stops being primarily about the economics of the rail and starts becoming an information problem.

“The agent is not reading a PDF and guessing,” Weinblatt said. “It is essentially reasoning over a validated reconciled record.”

Trusted AP data means an invoice has been captured regardless of format or language, matched against the purchase order and goods receipt, coded to the correct general ledger account and cost center, and checked against vendor records and applicable rules, Weinblatt said.

AI Is Moving AP Onto the CFO’s Balance Sheet

An invoice, in today’s agentic AI context, is not merely a document that needs to be processed. Once reconciled with procurement, supplier and payment information, it becomes a compact record of an economic obligation that includes who should be paid, how much, under what terms, through which account and potentially when paying creates the greatest financial advantage.

Weinblatt pointed to potential applications including payment rail optimization by supplier and invoice, working capital optimization, supplier onboarding, terms negotiation, corridor intelligence and virtual card acceptance.

Some CFOs have already realized that seemingly mundane payment decisions can aggregate into working capital strategy. Pay too early without capturing an economic benefit, and the company gives up liquidity. Pay too late, and it can damage supplier relationships or introduce operational risk. Choose the wrong rail, and the company may surrender economics, controls or reconciliation benefits.

“When you’re talking to the CFO, it’s all about cash and relationships,” Weinblatt said. “Controlling when and how you pay, that’s real working capital leverage.”

The supplier side matters as well. Better information can give suppliers greater predictability about when and how they will be paid, reduce disputes and potentially provide a foundation for better commercial terms. That makes payment intelligence not merely an internal efficiency tool but part of supplier economics.

If multiple providers can reliably execute the same transfer, moving the money itself offers diminishing differentiation. What becomes scarce is the context required to make a better decision before the money moves.

Watch the full B2B Payments 2026 event interview with Tungsten Automation’s Danielle Weinblatt to hear more about:

• Why moving the money is becoming the least valuable part of payments. Payment execution is becoming commoditized, shifting the competitive advantage toward the intelligence that determines the right rail, timing and controls before money moves, Weinblatt said.
• Why the invoice is becoming a source of financial intelligence. Connecting validated invoice data with supplier terms, payment preferences, discount windows and working capital needs lets finance move beyond processing transactions to making better payment decisions, Weinblatt said.
• Why smarter AP can become a working capital lever. Controlling when and how suppliers get paid can help CFOs deliberately capture discounts, manage cash and reduce exceptions while giving suppliers greater predictability around payment, Weinblatt said.

For all PYMNTS B2B coverage, subscribe to the daily B2B newsletter.