The Importance of Usage Intelligence for Artificial Intelligence Companies Is Growing

Artificial intelligence companies are turning to usage data to balance costs and pricing.

Artificial intelligence firms are turning to usage intelligence systems to monitor software consumption and align operational costs with pricing. A lack of visibility into how software is used leads to pricing decisions based on assumptions rather than consumption metrics. For products that involve variable costs such as computing power and model licensing, failing to monitor usage can cause expenses to exceed revenues.

Research shows that 48% of software buyers demand more transparency regarding usage, while 70% of industry participants view rapid ecosystem changes as a fundamental security and business risk. To overcome these issues, companies are building systems that collect telemetry data such as activation events and feature-level interactions. Processing this data through operational dashboards provides insights to sales and customer success teams while supporting the transition of organizations to flexible structures.