The Limits of Per-Seat SaaS Pricing in an AI-First World
Per-seat SaaS pricing models were built for an era of static tools and human-driven workflows. Charging by user made sense when more employees meant more clicks, more projects, and more value captured from software. Today, agentic AI is breaking that link. Autonomous agents can draft project briefs, triage backlogs, and generate updates without human intervention, reducing the number of human seats a customer actually needs. Ironically, the better the automation, the more a traditional seat-based vendor risks shrinking its own contracts. This structural trap is now visible in the broader market: investors are increasingly skeptical of headcount-dependent revenue when AI can decouple output from the number of logins. As software becomes a variable engine of work rather than a static tool, enterprises are questioning why they should pay for named users instead of the actual outcomes and usage that drive business value.
Inside monday.com’s Seats‑Plus‑Credits Pivot
monday.com’s recent move to a seats-plus-credits model is a prominent example of how SaaS pricing models are evolving. The company reported double-digit revenue growth and a sharp rise in large customers spending USD 500K (approx. RM2,300,000) or more, then quietly tied part of its new AI Work Platform pricing to consumption rather than headcount. Instead of relying solely on per-seat licenses, monday.com now meters AI usage through credits, layering usage-based billing on top of traditional licenses. This hybrid approach reflects a broader industry reality: few vendors are ready to abandon seats altogether, but many are experimenting with per-seat pricing alternatives that better reflect how AI-heavy products are used. Analysts point out that full transformation is hard; it demands new telemetry, billing infrastructure, and sales playbooks. monday.com’s shift signals that the path forward is likely incremental and hybrid, not an overnight switch.
How Consumption-Based Pricing Aligns Value and Incentives
Consumption-based pricing and other usage-based billing models are gaining traction because they better align vendor incentives with customer value. Instead of paying for every named user, enterprises pay for measurable consumption—such as transactions, workloads, or AI operations—which more closely tracks the real impact of a tool. This structure turns software from a fixed cost into a variable one, creating a tighter link between what organizations spend and what they actually use. Vendors benefit too: when pricing is tied to usage, they are rewarded for driving adoption and proving return on investment, rather than simply selling more seats. Hybrid models, like monday.com’s seats-plus-credits approach, offer a pragmatic bridge. They preserve familiar licensing structures for core access, while shifting incremental value—especially AI-powered features—into a usage-based revenue stream that scales up or down with customer demand and tangible outcomes.
What Flexible Pricing Means for Enterprise Buyers
For enterprise buyers, consumption-based pricing promises finer control over enterprise software costs. Seasonal and project-based workloads no longer need to be locked into annual seat commitments; teams can scale usage up during peak initiatives and down when demand eases, without carrying unused licenses. Procurement leaders, however, must adapt their budgeting practices. Instead of forecasting software purely by headcount, they need to model consumption, define clear guardrails, and negotiate visibility into usage data. Finance teams gain the ability to tie spend more directly to business cases and outcomes, but only if they invest in monitoring and governance. The transition also changes vendor relationships: success metrics shift from license counts to adoption, feature utilization, and time-to-value. Enterprises that build internal expertise in evaluating usage-based contracts will be better positioned to extract value and avoid surprises as more SaaS providers embrace flexible pricing structures.
Healthcare Software as a Testbed for Usage Models
Healthcare and medical device software illustrate why consumption-based pricing is becoming central to modern monetization. Embedded software now drives critical diagnostic and patient care capabilities, turning devices into recurring revenue platforms rather than one-off sales. To prove ROI in this heavily scrutinized environment, vendors are designing monetization strategies from day one, including consumption-focused models where pricing reflects actual software usage and the data it generates. Healthcare providers face rigorous procurement processes that demand evidence-based purchasing, so vendors rely on predictive ROI calculators and detailed telemetry to justify ongoing spend. Hybrid structures—such as subscriptions combined with tiered usage allowances or pay-as-you-go options—help align payments with clinical workload and utilization patterns. By tying revenue to real-world usage, healthcare software companies can better demonstrate value to clinicians, administrators, and patients, while maintaining the flexibility needed to respond to regulatory changes and evolving care models.