Rise of Agentic AI Pushes Enterprise Software Contracts Toward Outsourcing Model
For the past two decades, enterprise software has largely relied on SaaS contracts priced by seat or license, with vendors primarily guaranteeing uptime and offering compensation for outages. But Agentic AI can now approve refunds, reconcile accounts and initiate payments, meaning errors can directly cause financial losses. Mayer Brown and Stoel Rives therefore argue that contracts must include human review, audit rights and clearer allocations of liability.
PYMNTS reported on Feb. 24, 2026, that Mayer Brown had said on Feb. 17 that these contracts were shifting toward managed-services or outsourcing structures. On March 19, it also cited Nvidia CEO Jensen Huang as saying at GTC 2026 that SaaS would move toward outcome-based “GaaS” pricing. A survey found that 43% of chief financial officers expected Agentic AI to have a high impact on dynamic budget reallocation, while 47% anticipated a moderate impact. The reports did not disclose actual contract values.
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The history behind this eventWEX Uses Agentic AI to Redesign Its Operating Model
WEX, a provider of corporate payments and employee-benefits technology, is treating agentic AI as an operating-model shift rather than a software upgrade. Chief Digital Officer Karen Stroup says systems that can reason, decide and act should prompt companies to redesign how people, technology and governance work together. The approach is particularly consequential in financial services, where gains in speed and customer experience must be balanced against accuracy, trust and control.
WEX has turned lessons from a three-person team into a broader enterprise AI blueprint, arguing that companies should build AI-native organizations instead of layering tools onto legacy processes. On June 25, 2026, WEX said five years of targeted investment had expanded AI across risk, technology, digital and operations. The company said AI reduced average healthcare claims reimbursement time to under two minutes from two days and increased product innovation velocity by more than 50% in 2025.
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