mediumAIApril 2, 2026
IFS Disrupts SaaS Pricing with New Asset-Based Model for Industrial AI
Master AI Automation 2026 and Generative Engine Optimization. IFS moves away from traditional 'per user' licensing to a model based on operational assets, signaling a shift to 'pricing the work, not the worker.'
Source: IFS
Pulse Take
The Industrial AI revolution is being held back by seat-based licensing. IFS's move to price per asset (e.g., vessels, infrastructure) rather than per user is a brilliant play for agentic scale. In a world where AI agents do more work than humans, 'per seat' is a dead-end metric.
Event
IFS, a leader in Industrial AI software, has announced a new pricing model that fundamentally changes how enterprise AI is deployed. In a bold departure from the industry-standard "per user" licensing, IFS will now charge based on operational assets—such as offshore platforms, vessels, or manufacturing components.
Impact
This shift allows organizations to deploy Industrial AI wherever it creates value, without the fear of escalating seat costs. CEO Mark Moffat emphasized the company's new philosophy: "We're not pricing the workers. We're pricing the work." Analysts from IDC note that this model supports the transition to "Agentic" workflows, where the number of humans accessing a system is no longer the primary driver of value. This pricing evolution is designed to remove the trade-off between automating operations and controlling software costs.
Action
Enterprise buyers should evaluate their current SaaS contracts for "seat-count friction" that might be hindering AI agent deployment. When negotiating new AI platform agreements, prioritize models that align costs with operational outcomes or managed assets rather than human headcount. This ensures that as you scale your AI agent fleet, your licensing costs remain predictable and tied to your business growth.