Larridin Launches Token & Spend Insights

As AI companies offer agentic AI, and move rapidly to token-based pricing, "AI sticker shock" has hit enterprise companies hard. Uber is not the only leading company that has spent its entire 2026 AI budget in the first few months of this year. Elvex has reported that an enterprise company in healthcare used 1 trillion tokens, generating $6M in unplanned spend before it was halted.

Even before recent cost increases had fully arrived, the Zylo 2026 SaaS Management Index has reported that enterprise AI spend recently doubled year over year, and that most IT leaders reported charges they never budgeted for.

The perception is that there's no fast, reliable way to measure token usage and AI spend across tools and use cases. Companies are left exporting from multiple provider dashboards and expense account filings to spreadsheets, trying to attribute costs and derive useful management information, with perhaps predictable results. 

These challenges had already led to Larridin CEO Russ Fradin's recent appearance on CNN to comment on these issues. Now Larridin, the leader in AI measurement and optimization, has launched Token & Spend Insights.

Building on capabilities familiar to Larridin customers, this new offering includes:

• Tracking of every source of token burn. Sources tracked include cloud model providers, subscriptions, browser plugins, desktop OTel agents, custom connectors, and API gateway integrations.
• Integration across sources. Token & Spend Insights pulls together information from all sources. Larridin reports total spend per time period, what models are in use, what agents are running, and more.
• Visibility. Normally, tools measure human output or agent output. With Larridin, agent costs are tracked per team and per owner, with full budget attribution. Human and agent token usage and spend are each visible in a unified view.
• Attribution. Spend is tied back to teams and to use cases, and then to results with real business meaning. Cost is attributed to units of work.
• Alerting. Alerts are available for total spend, projected overages, "orphaned" agents, dormant seats from licensing contracts, and more

Customers are already using Larridin to help enterprise customers optimize AI-powered productivity. Larridin customers are not only able to manage and attribute costs. They are able reduce "shadow" AI by 90% or more; manage it productively to find new use cases when it does occur; identify new tools and best practices, scaling them team- and company-wide; and reach goals such as greater than 50% AI power users in a company with thousands of employees.

Larridin customers have previously been able to rightsize their spending in line with productivity. We can offer a broad recommendation, and an encouraging result, from their experience:

• Employers need to set guardrails around the cost/benefit inflection point. With a management framework like Larridin, employers can quickly give employees useful feedback.
• Optimal productivity can be achieved at far less cost. With solid cost/benefit information in hand, employees can use their skills to get more work done for less.

Larridin internal data indicates that less than half of unmanaged AI spending is productive. With Larridin, customers can set guardrails around productivity inflection points, rapidly cutting spending, and achieving significant ROI gains from AI.

If you're a business leader looking to use AI productively, check out Larridin Token & Spend Insights or contact Larridin.