AI agents for product managersShip what matters. Skip the noise.
Your agents synthesize feedback, track competitors, and keep docs in sync – so your team can make better decisions, faster.
Last updated
Enriched with deal size from CRM
Ranked by revenue-weighted impact
Created top 5 Jira stories with criteria
Product agent
Feature Analyzer
47 requests analyzed
Enriched with deal size from CRM
Ranked by revenue-weighted impact
Created top 5 Jira stories with criteria
Product agent
Feature Analyzer
47 requests analyzed
connected tools, one answer
lower token cost with OM2 in a 100-task benchmark
of answers preferred in blind review
Why Coworker's AI agents for product managers
Every request, every channel
Search Gong and Granola calls, Intercom conversations, Zendesk tickets and Slack for a feature or complaint, and see who asked and where.
Usage next to the anecdote
Pull Pendo top features, account usage and NPS responses into the same answer, so a loud request gets checked against real usage.
Roadmap tools that stay in sync
Read and update Jira and Linear issues, and check Jira release versions and change history, without leaving the conversation.
Know what actually shipped
Check merged pull requests and commit history to answer whether a feature shipped, when, and in which PR.
See Product agents in action.
Real workflows with tool requests, reasoning steps, and approval gates – exactly how they run in production.
Connects to your entire product stack
50+ OAuth connectors – permissioned and secure. Your agents work across every tool your team already uses.
Automation for your most critical product workflows
FAQ
Frequently asked questions
AI agents synthesize feedback from support tickets, sales calls, user research, and community channels into prioritized themes. Product managers get signal instead of noise, grounded in real customer data.
Coworker agents automate feedback synthesis, sprint reporting, competitive intelligence monitoring, roadmap syncing, release notes generation, feature adoption tracking, and user research session analysis.
Yes. Coworker agents monitor usage metrics, support ticket volume changes, and customer feedback after each release to measure adoption and surface issues early, feeding insights back to the roadmap.
Product analytics tools show you what users do. Coworker connects that data with sales conversations, support tickets, and internal discussions to tell you why users behave that way and what to build next.
Create your first product agent in 5 minutes
Connect your tools, pick a workflow, and your first agent runs before you finish setup.