From Per-Seat Pricing Models to Flexible Consumption
Per-seat pricing models dominated SaaS for two decades because user counts roughly mapped to value: more employees meant more software-driven work. That logic is breaking down. Agentic AI can draft project briefs, triage backlogs, and send stakeholder updates with minimal human intervention, meaning the best tools increasingly reduce the number of human seats required. As analysts have warned, vendors that cling to strict per-seat pricing risk “cannibalizing” their own contracts as AI efficiency grows. At the same time, enterprises are under pressure to justify every line item with hard usage and ROI data. This makes consumption-based pricing – where customers pay according to usage metrics rather than headcount – far more attractive. Usage-based billing allows buyers to scale spend with real activity, while giving vendors a way to monetize automation rather than be undermined by it.
monday.com’s Seats-Plus-Credits Pivot as a Market Signal
monday.com’s latest results highlight how this transition is unfolding in practice. The company reported revenue growth of 24% year-over-year and a 74% annual increase in enterprise customers spending USD 500K (approx. RM2,300,000) or more. Alongside that performance, it launched an AI Work Platform and quietly shifted to a seats-plus-credits pricing structure. Instead of tying all revenue to licensed users, monday.com now links part of its monetization to AI consumption. This hybrid SaaS pricing strategy mirrors broader patterns: research on generative AI launches shows many vendors either raising per-seat prices for AI tiers or adding usage meters for AI features on top of existing seat frameworks. monday.com’s move suggests the project and work management category is moving in the same direction, using consumption-based pricing to capture the value created by autonomous AI agents without abandoning familiar seat-based contracts overnight.
Why Enterprise Buyers Prefer Consumption-Based Pricing
For enterprise buyers, consumption-based pricing promises clearer ROI and better alignment between cost and value. Instead of paying for every potential user, organizations can connect spend to tangible activity, such as tasks automated, workflows executed, or AI credits consumed. This helps procurement teams benchmark vendors on actual impact, not just license counts, and supports evidence-based purchasing. Usage-based billing can also improve cost predictability when paired with caps, tiers, or committed-use agreements: finance teams can forecast a baseline while retaining flexibility during spikes in demand. In project management and collaboration tools, where autonomous agents increasingly orchestrate work, seats alone no longer describe how heavily a platform is used. By shifting toward usage metrics, buyers can more easily build business cases, track ongoing value realization, and reallocate budgets dynamically as teams adopt or retire workflows, rather than renegotiating rigid seat allocations.
Operational Implications for SaaS Vendors
The shift to consumption-based pricing is not just a packaging exercise; it forces SaaS vendors to rethink their entire go-to-market and customer success motion. Many lack the telemetry to accurately measure usage, or the billing systems to rate and invoice it at scale. Sales organizations trained to sell blocks of seats must now master conversations about value metrics, usage forecasts, and potential savings from automation. Compensation plans and renewals need to reward expansion through higher utilization, not just more users. Customer success teams must become more data-driven, monitoring feature adoption, usage trends, and outcomes to reduce bill shock and churn. Even product roadmaps change: features are prioritized not only for engagement, but for how well they map to defensible usage metrics. Vendors that can operationalize these changes will be better positioned to thrive in a usage-led landscape.
Healthcare Devices as a Frontline for Software Monetization Models
Healthcare device manufacturers illustrate how deeply consumption-based pricing can reshape software monetization models. These companies increasingly treat embedded software as a commercial product rather than a bundled feature, designing for monetization from the outset. In complex environments with strict regulatory and safety requirements, they are adopting hybrid monetization approaches: subscriptions combined with consumption-based billing, tiered usage packages, and pay-as-you-go models. AI-driven diagnostics and imaging workflows, for example, lend themselves to pricing based on actual usage or data processed. To support this, manufacturers build predictive ROI calculators to justify investments before long-term clinical proof accumulates, and deploy self-service portals so providers can manage licenses and usage directly. Healthcare’s rigorous, evidence-focused procurement processes make it a leading vertical in demanding transparent, usage-aligned pricing – a pattern that is likely to influence how other industries evaluate and purchase AI-powered software.