Same work tracked in four disconnected tools. AI pulls live context from all of them—drafts land ready to sharpen, not start.
A CRM platform company with hundreds of marketers and a large product management organization, where daily work spans ServiceNow, Asana, Slack, Google Sheets, and scattered internal documentation systems.
Product and marketing teams managed requests, approvals, and documentation across four or more disconnected platforms, with the same work duplicated...
“The HubSpot Marketing team didn't come to Cowork as strangers to Claude. We were already extensive Claude users: individual chats, shared projects, artifacts, integrations woven into daily work.”
AI-powered CRM platform for marketing, sales, and customer service.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
HubSpot's Workflow automation is part of this use case:
Related implementations across industries and use cases
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Testing a homepage direction meant three teams and a design handoff. Now one marketer builds a shareable draft alone.
Rigid prompts limited AI to isolated tasks. Now, a central reasoning model coordinates agents to plan and execute complex workflows.
Intimidating spreadsheets caused rushed evaluations. Now, a guided Claude app pulls Jira tickets to help engineers write concrete reviews.
Strategists lost hours rebuilding workflows by hand. Now, a shared AI library shifts focus from mechanical assembly to client strategy.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Same work tracked in four disconnected tools. AI pulls live context from all of them—drafts land ready to sharpen, not start.
A CRM platform company with hundreds of marketers and a large product management organization, where daily work spans ServiceNow, Asana, Slack, Google Sheets, and scattered internal documentation systems.
Product and marketing teams managed requests, approvals, and documentation across four or more disconnected platforms, with the same work duplicated...
“The HubSpot Marketing team didn't come to Cowork as strangers to Claude. We were already extensive Claude users: individual chats, shared projects, artifacts, integrations woven into daily work.”
AI-powered CRM platform for marketing, sales, and customer service.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
HubSpot's Workflow automation is part of this use case:
Related implementations across industries and use cases
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Testing a homepage direction meant three teams and a design handoff. Now one marketer builds a shareable draft alone.
Rigid prompts limited AI to isolated tasks. Now, a central reasoning model coordinates agents to plan and execute complex workflows.
Intimidating spreadsheets caused rushed evaluations. Now, a guided Claude app pulls Jira tickets to help engineers write concrete reviews.
Strategists lost hours rebuilding workflows by hand. Now, a shared AI library shifts focus from mechanical assembly to client strategy.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.