SaaS companies moving toward usage-based and hybrid pricing models are discovering that revenue is no longer secured when the contract is signed. Instead, revenue is earned continuously through product usage, introducing new challenges for finance teams around billing accuracy, revenue visibility, forecasting, and managing increasingly complex cost structures driven by AI-powered products.

In the latest episode of Tech Transformed, host Dana Gardner speaks with Lee Greene, Vice President of Sales at Vayu, about how AI and usage-based pricing are reshaping the economics of SaaS and why many companies are discovering that their pricing strategy is only as strong as the infrastructure behind it.

One idea from the conversation: “Pricing strategy is only as strong as the infrastructure behind it.”

What you will learn in this episode

  • Why usage-based pricing exposes hidden revenue leakage in many SaaS companies
  • How AI-driven products introduce unpredictable cost structures and margin pressure
  • Why disconnected CRM, product, and ERP systems break revenue visibility
  • What finance and revenue teams need to support scalable usage-based billing and forecasting

Why SaaS Economics Are Breaking Away From Fixed Subscriptions

Greene argues that usage-based pricing isn’t simply an emerging trend. It is a response to assumptions that no longer hold true.

Traditional SaaS subscription models were built around predictable costs and relatively stable product usage. AI-driven products have fundamentally changed that equation. Each interaction with an AI-powered system can create variable cost, making static pricing models increasingly difficult to sustain.

This shift is also changing buyer expectations. Customers increasingly resist flat pricing structures and instead prefer models that reflect the value they actually receive. Usage-based pricing aligns economic benefit with real consumption, allowing buyers to justify spend internally while pushing vendors to be accountable for measurable outcomes rather than bundled feature sets.

AI’s Double Role

The conversation also highlights how AI is introducing a structural challenge for SaaS finance and revenue teams.

Usage-based pricing generates enormous volumes of data across product usage, customer behavior, and cost inputs. Traditional billing systems were not designed to process this level of complexity.

At the same time, AI is also becoming the only scalable way to manage it. Automated usage tracking, dynamic pricing logic, and real-time billing reconciliation are increasingly necessary to maintain operational accuracy and financial control.

Treating AI solely as a product capability, rather than embedding it into revenue operations, can leave organizations exposed to billing errors, misaligned pricing models, and revenue leakage.

Revenue Management Shifts From Contracts to Operations

One of Greene’s key observations is that usage-based pricing does not necessarily create revenue leakage. Instead, it reveals problems that already existed.

The difference is visibility.

In traditional SaaS models, revenue was largely secured at the moment of contract signature. In usage-based models, revenue must be earned continuously through product consumption. This means billing accuracy, system integration, and data flow directly influence financial performance.

Disconnected CRM, product, and ERP systems can create gaps that lead to misbilling, delayed revenue recognition, and customer disputes. As a result, the infrastructure supporting revenue operations becomes inseparable from pricing strategy itself.

What SaaS Leaders Must Build to Stay Economically Viable

The discussion concludes with a broader perspective on how SaaS companies must evolve to support this new economic model.

The future belongs to organizations that design their pricing and revenue systems for variability. Pricing models must adapt to changing demand, and the systems behind them must support that flexibility without relying on heavy manual processes.

Automation and no-code AI tools are increasingly enabling finance and revenue teams to adjust pricing models as usage patterns evolve. This agility is not simply about speed. It is about maintaining control in an environment where AI-driven cost structures and product usage can shift rapidly.

Usage-based pricing is doing more than changing how SaaS products are sold. It is reshaping how companies think about value, risk, and revenue itself, making flexibility, intelligent automation, and data-driven decision making central to long-term success.

Takeaways

  • The shift from fixed subscription models to usage-based pricing driven by AI
  • How AI is both creating and solving new pricing and billing challenges
  • Why revenue infrastructure plays a critical role in preventing revenue leakage
  • The importance of flexible pricing models that adapt to demand and usage patterns
  • The growing role of automation and AI in modern revenue operations