Agentic Product Management: Multi-Step AI Workflows
Explore agentic product management—where AI agents run complete PM workflows across tools, with governance and traceability built in.
From Customer Feedback to PRD in One Workflow
The product team needs to prioritize the next major feature. An agentic workflow synthesizes evidence from multiple sources into a decision-ready PRD.
How it works:
- 1Agent queries Gong for pain points mentioned in last 30 days (finds 47 mentions of "search")
- 2Pulls community feature requests and vote counts (89 votes for search filters)
- 3Analyzes support ticket themes from Zendesk (35% mention search frustration)
- 4Checks competitor landscape for recent search-related launches
- 5Drafts PRD with problem statement, evidence, and proposed solution
The team has a PRD grounded in customer evidence, not assumptions. Every claim links to a source. Decision-makers can trust the prioritization.
Is this right for you?
If you answer "yes" to any of these, agentic product management can help.
How pmkit handles agentic product management
Pre-Built Job Types
- • Daily Brief: Synthesize overnight activity from Slack, Jira, support, and community
- • Meeting Prep: Prepare for customer meetings with context from calls and tickets
- • VoC Clustering: Cluster feedback into actionable themes with evidence
- • Competitor Intel: Track competitor changes with strategic implications
- • Roadmap Alignment: Generate alignment memos with options and trade-offs
- • PRD Draft: Draft PRDs grounded in customer evidence
Draft-Only Pattern
pmkit never writes directly to external systems. All outputs are proposals that you review, edit, and approve before anything is published. This gives you AI autonomy with human control.
Enterprise Governance
- • Role-based access control (RBAC)
- • Comprehensive audit logging
- • SSO integration (SAML/OIDC)
- • Every insight cites its source
Try agentic product management in the demo
See it in action with a complete mock enterprise dataset. No signup required.
Launch Demo