Anthropic introduced reporting and shared-budget tools to help business customers assess team output, token costs and problems in AI workflows.
Anthropic announced a new set of enterprise reporting tools on October 28, 2026, giving managers a way to review how teams use its AI products. Reports draw on internal analytics and employee surveys to show work completed during a selected period, associated costs, and points where workflows ran into trouble.
The reports are also designed to suggest ways teams could improve their results. Anthropic says the information will not be used to train its models by default. The company is also developing pooled budgets, so teams can manage token spending collectively.
The launch comes as businesses seek clearer evidence of what they get for their AI expenses. TechCrunch reported that Anthropic shared financial information with investors showing an operating profit in the second quarter and 900% net revenue retention. In the article’s explanation, spending by the same customers in the third quarter of 2026 was nine times their spending in the third quarter of 2025.
Data from software-development platform Jellyfish offers another measure of the cost trend. Its report, based on agentic coding tool use by 276,000 customers, found that spending on those tools had grown tenfold since the start of the year and amounted to about 2% of total engineering costs. Claude Code and other tools built on Anthropic models accounted for nearly a third of proposed code changes submitted for review in that survey.
Anthropic’s reports target an operational question beyond how often a model is used: whether its use is producing work that teams consider worthwhile, and where they may need to adjust. By combining activity, cost and workflow information, the tools give business customers a more detailed basis for reviewing their AI deployments.