PayPal says more than 12,000 employees use Claude Enterprise each month
An Anthropic customer case study traces the gains to connected data tools and custom workflows.
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An Anthropic customer case study traces the gains to connected data tools and custom workflows.
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PayPal’s deployment pairs Claude with internal data interfaces: product staff query company data through a custom MCP server, while account managers use AMOS for merchant and portfolio analysis. Anthropic’s case study reports more than 12,000 monthly Claude Enterprise users and faster reporting, but the adoption and productivity figures are PayPal-reported and not independently verified. The clearest quantified gain is limited to a sales plugin, so it should not be read as a company-wide time-saving rate.
PayPal says its sales plugin, in use since August 2025, saves an average of 45 minutes per user each week on pipeline management and account-risk reviews.
AMOS can prepare merchant reports in five to 10 minutes, and PayPal says it surfaces weekly growth signals, including some previously missed.
PayPal says its custom MCP server lets product staff analyze products and build dashboards with less reliance on engineers and data analysts.
More than 12,000 PayPal employees use Claude Enterprise each month, a newly published Anthropic case study says. Teams across product, technology and sales use custom tools to access business data and speed routine work, from preparing merchant reports to reviewing sales opportunities and account risk.
The adoption figures and time savings are PayPal’s reported results, published by its AI supplier rather than independently verified findings.
Product teams use a custom MCP server, a connection that lets Claude query and retrieve data. PayPal’s product organization built it so staff can analyze products and create dashboards themselves. The case study says this reduces their need for engineers and data analysts.
Account managers use a separate Claude-based analytics platform called AMOS, short for Account Management Operating System. It provides portfolio insights, merchant health diagnostics and information about potential sales. Instead of manually building dashboards, employees can ask questions about live data through a conversational interface.
PayPal credits AMOS with bringing those insights to staff in minutes rather than days. More specifically, the case study puts report preparation at five to 10 minutes. It also says the platform surfaces weekly merchant growth signals, including some that previously went undetected.
In 2025, we gave our employees access to the leading AI tools and let the results speak for themselves. What tells me Claude has become a trusted collaborator at PayPal is that our people now turn to it as an everyday thought and execution partner.
Anshu Bhardwaj, Chief AI Transformation & Simplification Officer, PayPal
The clearest recurring time-saving figure concerns a custom sales plugin. PayPal’s sales team has used it since August 2025 for pipeline management—tracking potential deals—and account risk review. The reported saving averages 45 minutes per user each week. That figure applies to this sales workflow, not to every employee counted in Claude Enterprise’s monthly usage.
Other uses bring together information that previously sat in separate tools. The case study describes Claude supporting merchant underwriting, compliance reviews and deal cycles by consolidating that material.
Software development is part of the deployment, too. Anthropic describes Claude Code as one of the technology team’s most-used AI tools.
For account managers, PayPal describes the intended business payoff in straightforward terms: less time preparing information and more time with merchants.
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