What AI tools did Zapier use?

Zapier used Claude Enterprise, Claude Code in this implementation within the Technology sector.

What business function does this AI use case address?

This use case focuses on Operations, demonstrating how AI can drive impact in that area.

How Zapier Achieves 89% AI Adoption with Claude Enterprise

Zapier deployed Claude Enterprise and Claude Code company-wide, achieving 89% AI adoption across all employees — the highest adoption rate in company history. The automation platform now runs 800+ internal AI agents and saw 10x year-over-year growth in Anthropic app usage. Adoption began grassroots before a formal rollout.

Impact

89%

AI adoption rate across all employees

800+

Internal AI agents deployed

10x

Year-over-year growth in Anthropic app usage

Challenge

Achieving meaningful AI adoption across a fully distributed, remote-first workforce that holds automation tools to a high standard and requires async-compatible workflows.

Solution

Deployed Claude Enterprise and Claude Code org-wide, enabling grassroots adoption that spread naturally before a formal rollout, with 800+ internal AI agents built on top of Claude.

Tools & Technologies

Claude Enterprise Large Language Models

Claude Code Developer Tools

What Leaders Say

“Artifacts were one of the first things I'd seen that could bring ideas to life so quickly and simply.”
Reid Robinson, Lead Product Manager of AI

Get the full context.

Full Story

Zapier builds automation software connecting 8,000+ apps, and as an automation-first company, they held AI adoption to a high bar internally. Their distributed, remote-first culture meant any tool needed to work seamlessly across time zones without requiring in-person onboarding or IT hand-holding.

The team evaluated AI solutions with particular focus on alignment with their async work culture and the quality of reasoning for complex automation tasks. They selected Claude Enterprise and Claude Code, initially through grassroots adoption that spread organically before leadership formalised the rollout.

Within months, Zapier deployed 800+ internal AI agents powered by Claude and saw 10x year-over-year growth in Anthropic app usage across the company. Claude Code became a key tool for the engineering team, while Claude Enterprise served product, marketing, and operations teams for content creation, research, and workflow automation.

The 89% adoption rate — the highest for any tool in Zapier's history — reflects both the quality of the product and the natural fit with an automation-first workforce. Features like Artifacts accelerated prototyping and allowed ideas to be turned into working demos in minutes rather than days.

Zapier now positions Claude as a core part of its internal productivity stack, with Model Context Protocol (MCP) enabling deeper integrations between Claude and Zapier's own automation infrastructure.

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