Agentic AI Could Make Net 30 Obsolete
It’s the year 2026, and net-30 terms still dominate the corporate landscape. Companies have digitized invoices, automated accounts payable, connected bank accounts through APIs, and built future-proof, sophisticated cash forecasts. But one of the most consequential financial decisions between businesses, exactly when money changes hands, is still frequently determined by payment terms negotiated…
In the year 2026, net-30 payment terms remain prevalent in the corporate world. Despite advances in digitizing invoices, automating accounts payable, connecting bank accounts via APIs, and creating sophisticated cash forecasts, the timing of when money changes hands between businesses remains a frequently negotiated aspect. The common B2B payment term has endured numerous technological changes, but will traditional payment terms like net 30 and net 60 survive the era of agentic artificial intelligence?
If software can continuously understand a buyer's cash availability, a supplier's liquidity needs, potential earnings on cash held elsewhere, and each side's risk tolerance, payment terms could shift from static contractual provisions to dynamic pricing. In June, JPMorgan conceptualized a future where buyer and supplier treasury agents autonomously negotiate payment timing and discount terms within set policies.
Picture a buyer with excess cash on a Tuesday afternoon. Its treasury agent, aware of the company's liquidity requirements, short-term investment returns, borrowing costs, cash forecast, and supplier risk policies, could theoretically discover a mutually beneficial price to advance payment by 11 days. This would turn payment timing into a continuously repriced financial instrument, with every approved invoice potentially containing an embedded financing opportunity whose value fluctuates with liquidity, interest rates, counterparty conditions, and time.
A Visa report in collaboration with PYMNTS Intelligence found that 70% of "Adaptive" chief financial officers and treasurers use working capital solutions to pay suppliers faster, maintain agility, and strengthen supplier relationships in a volatile economy. The true breakthrough in agentic AP lies not in eliminating humans from invoice processing but in making the economics inside each invoice liquid.
To achieve this, finance departments must first automate certainty by addressing questions of cash availability, forecasted obligations, supplier identities, contractual restrictions, and alternative returns.
Currently, corporate treasury policies are designed for human interaction. However, agentic treasury demands translating these policies into machine-executable rules. These boundaries could set specific limits on payment acceleration based on early-payment discounts exceeding a hurdle rate or prohibit extending terms for strategically critical suppliers.
With payment timing affecting liquidity, supplier relationships, procurement strategy, credit risk, and accounting, the agent requires a financial constitution more than a chatbot prompt.
This transformation is not an immediate shift to autonomous agents taking over AP. Instead, the near-term evolution is likely to involve AI identifying working capital opportunities and recommending them, eventually leading to executing narrowly defined decisions and negotiating with external agents. Ultimately, the goal is to create an environment where every payable can be a real-time decision about the highest-value use of corporate cash, transforming AP into a dynamic financing strategy.
Written by urgent.news from PYMNTS's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
