// ZDNET — INTELLIGENZA ARTIFICIALE
These Claude Enterprise features let you track AI ROI – what’s new
Is your pricey Claude Enterprise account worth it? Anthropic is trying to surface insights with three tools.
By some measures, businesses are finally starting to see ROI on expensive AI adoption, but many still want better insights about whether the spend is worth the productivity gains.
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Attempting to give its enterprise clients more visibility, Anthropic is making three tracking features, all released in beta in September, generally available for Claude Enterprise plans: smart reports, pooled budgets, and in-app surveys.
Smart reports track what tasks employees are using Claude for and how often they’re running them, in addition to what they cost. The reports, which are off by default, also document “where sessions run into friction,” the company said, and note where you can create routine workflows from the tasks people run consistently.
Anthropic noted in the documentation that smart reports “aren’t designed and should not be used for evaluating individual performance or making employment decisions,” a relevant disclaimer given how AI is impacting HR.
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The pooled budgets feature sets a monthly spend cap for a group within an organization, in addition to each seat’s individual monthly limit. Admins can set individual and group spend limits based on previous monthly spend data. The feature aims to optimize budgets so that one highly active user isn’t hamstrung by a budget limit while others leave spend on the table. Users can belong to multiple pooled budgets, which you can order by priority.
With in-app surveys, admins can create surveys that appear in Chat to ask employees about their Claude usage and see aggregate responses in their Admin console.
Claude Enterprise is much pricier than a Claude Teams account — the former is billed at $20 per seat per month, in addition to API token rates. The latter also charges $20 per seat, but caps out at 150 users and includes tokens (meaning usage isn’t billed separately), making it more accessible to smaller teams.