Anthropic adds tools to track team output and AI costs
Anthropic has launched reporting tools to help companies assess what they get from spending on its AI products, including Claude Code. The tools aim to show the business value of AI use and help teams improve workflows, as companies face pressure to make rising costs worthwhile.
Managers can see what a team produced over a chosen period, how much it cost and where its workflows faltered, with recommendations for improvement. Anthropic says the data will not be used to train its models by default, and it is also introducing shared budgets for teams. A Jellyfish survey covering 276,000 customers found tools built on Anthropic models accounted for nearly a third of proposed code changes; spending on agentic coding tools had risen tenfold since the start of the year to about 2% of engineering costs.
In short
- Anthropic adds reports to help companies measure AI value.
- Teams can review output, costs and workflow problems.
- Agentic coding tool spending has risen tenfold this year.
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The case for
The reporting tools could help companies judge whether AI spending is producing useful work, identify workflow problems and manage shared budgets. With costs rising and AI tools contributing substantially to proposed code changes, clearer evidence may help teams improve productivity and make informed investment decisions; Anthropic’s stated default against using this data for model training may also reassure businesses.
The case against
Tracking team output and costs could encourage managers to prioritise measurable activity over harder-to-quantify factors such as code quality, learning and collaboration. The data may also give employers more visibility into individual or team performance, raising concerns about monitoring and how metrics shape workplace expectations, even if the information is not used to train models by default.
Explained simply
Anthropic is an artificial intelligence company whose Claude products can help with tasks such as writing and software development. Claude Code is designed to assist with coding, and companies may pay to use these tools across their teams.
As more businesses adopt AI tools, they are weighing the costs against the work those tools help produce. Managers also need to understand where AI fits into existing processes and where it may not be working well.
The issue matters to both employers deciding how to budget for AI and workers whose tasks may change as it is used. Companies also need to consider how information about their teams’ work is collected and used.
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Originally published by TechCrunch as “Anthropic just launched tools to show companies what their AI spending is buying”.