Anthropic launched a new set of reporting tools on Wednesday. The tools are built to show business customers what they get from their AI spending.
The launch came in the same week the company shared financial figures with investors. Those numbers point to strong growth for its AI coding tool, Claude Code.
Anthropic recorded an operating profit in the second quarter. It also reported 900% net revenue retention, meaning spending from the same customers grew nine times between the third quarter of 2025 and the third quarter of 2026.
What the New Reports Show
The reports use internal analytics and employee surveys. Managers can look at a team’s work over a set date range.
They can see what the team produced, how much it cost, and where its workflows broke down. The reports also offer recommendations on how to improve results.
Anthropic says it will not use this data to train its models by default.
The company is also creating pooled group budgets. These let teams better manage how they spend tokens, the units used to measure AI usage.
Large customers have been asking how to measure the return on their AI spending. Venture-backed firms are driving much of the token spend, but most Fortune 500 companies are not yet seeing major gains from AI tools.
Coding Tool Spending Rises Fast
Jellyfish, a company that makes tools for software developers, released a report on Tuesday. It looked at the use of agentic coding tools by 276,000 of its customers.
Claude Code and other tools built on Anthropic models were the most widely used. They were responsible for nearly a third of all proposed code changes submitted for review.
Spending on these tools has grown 10x since the beginning of the year. Their cost now equals about 2% of total engineering costs.
“Even if you’re saying 2% is still small, that 10x growth is growth that most CFOs didn’t plan for,” Nicholas Arcolano, chief scientist at Jellyfish, told TechCrunch.
He added that companies are realizing “it’s not enough to just spend a bunch. You now have to optimize it, make it work.”
OpenAI released its Astra model this summer. So far, it has not slowed Anthropic’s adoption numbers.
Nikolas Albarran, the AI product lead at Jellyfish, said OpenAI’s Codex took a long time to show up in the company’s data but has grown since Astra launched. He said Anthropic had strong enterprise sales efforts, and many customers built standard workflows around its tools.
Albarran also pointed to forward-deployed engineering teams, which place AI consultants inside customer companies. The new reports work like a lighter version of that hands-on help.
“Once you’re in, it’s going to be harder and harder to switch because you’ve spent the effort,” Albarran said. He noted each tool has its own quirks, so “that cost to switch is not zero.”
