Autonomous AI agents are pushing enterprise software vendors away from traditional per-seat subscriptions toward pricing models based on consumption, individual actions, or measurable business outcomes, according to a new report from Channel Insider. Companies including Salesforce, Intercom, and Zendesk have begun testing alternatives to long-term SaaS contracts as buyers increasingly demand to pay only for what AI agents accomplish rather than simply for software access. "I'm really not into a 10-year SaaS agreement anymore," Allison Johnson, director of Americas technology partners at AWS, said of C-level buyer conversations, noting customers now ask about "pay as you go pricing, or pay for outcome or pay for token."
The emerging AI pricing landscape divides into four distinct approaches, the report outlines. Traditional subscriptions remain one option, but vendors are increasingly adopting consumption-based pricing tied to usage or tokens, action-based pricing tied to work an agent performs, and outcome-based pricing tied to completed business results. Salesforce now offers consumption-based Agentforce pricing through Flex Credits, with its rate card assigning 20 Flex Credits to standard and custom agent actions and 30 to voice actions. Intercom's Fin charges customers only when the agent produces defined outcomes such as successfully resolving a customer issue, rather than for every attempt the AI makes. Zendesk is similarly expanding outcome-based pricing around verified resolutions, which it says are independently evaluated before customers are charged.
The report notes that business application vendors have generally moved faster because their outcomes can be easier to identify—a customer service agent resolving a ticket provides a comparatively clear event against which a vendor can charge. However, defining an outcome is only part of the challenge. Johnson highlights the complexity: "How do you check that that outcome actually happened? Like, how do you get the customer to opt into being charged?" Those questions require changes not only to product engineering but also to billing, measurement, and contracting. The shift also reaches beyond software vendors to consulting partners, who face similar pressure as customers question traditional time-and-materials engagements and instead ask for the measurable results they're receiving from a project.
Johnson doesn't expect subscriptions or large software agreements to disappear, comparing the current shift to the industry's earlier transition from on-premises software to SaaS—a transformation that unfolded over years with different vendors and industries moving at different speeds. "There's always going to be a place for those big deals," Johnson said, though vendors increasingly need another option because customers are demanding greater flexibility. The report suggests the near-term future of AI pricing will likely yield not a single replacement for SaaS but rather a growing mix of subscriptions, consumption, actions, and outcomes. For channel partners and software vendors, the immediate question isn't whether every contract becomes outcome-based—it's whether their commercial models can keep pace as customers gain more ways to connect what they spend on AI to what those agents actually accomplish. The challenge cuts both ways: outcome-based engagements can let providers benefit when AI delivers work faster than billable-hours models would reward, but they also put more revenue at risk when the agreed result takes longer to achieve or isn't achieved at all.