Usage-Based and AI Pricing: Keeping Consumption Costs Predictable
How usage-based and AI pricing changes SaaS cost control: forecasting consumption, setting budgets and alerts, and negotiating guardrails into contracts.
By the MI Solutions SAM team9 min read2 exhibits
More software is priced by consumption: API calls, storage, compute, messages, and increasingly AI credits or tokens. Usage-based pricing can be fairer than per-seat pricing, because you pay for what you use. It is also harder to predict. In Zylo's 2025 index, 66.5% of IT leaders reported unexpected SaaS charges due to consumption-based or AI pricing.
The new risk
Exhibit 1
Per-seat vs consumption: different risks
01Per-seat pricing
The risk is paying for people who do not use the product: shelfware.
02Consumption pricing
The risk is paying for more use than you planned: surprise bills.
03Hybrid pricing
A per-seat base plus metered extras, such as AI credits or storage: both risks at once.
How to keep it predictable
Understand the meter
What exactly is counted, and how is it priced at each tier?
Forecast from data
Use actual consumption history and planned projects, not the sales estimate.
Set budgets and alerts
In the vendor's console, at 50%, 80% and 100% of the monthly budget.
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