What does "draft-only" mean?

Draft-only means the agent never writes directly to external systems (Jira, Confluence, Slack). Instead, it creates proposals that you review and approve before execution.

Why is draft-only important for enterprises?

Draft-only ensures that AI mistakes don't propagate to production systems. Every change is reviewed by a human, maintaining quality and accountability.

Can I skip the review step for low-risk actions?

Enterprise customers can configure auto-approval rules for specific action types, while maintaining review requirements for high-impact changes.

How does this compare to other AI tools?

Most AI tools either have no external actions (just chat) or allow direct writes. pmkit's draft-only model provides the best of both: autonomous workflows with human oversight.

Resources/Governance

Governance

Draft-Only AI Agent: Autonomy Without Risk

Learn how draft-only agents provide AI autonomy while keeping humans in control of all external writes.

draft-only AI agent

safe AI agent

human-in-the-loop AI

controlled AI automation

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AI autonomy with human control

Catch errors before they go live

Build trust in AI gradually

Demonstrate responsible AI to stakeholders

Real Example

Catching an Error Before It Ships

An agent drafts a Slack announcement about a feature launch. Before approval, the PM notices an error.

How it works:

1Agent drafts announcement: "Search filters now available for all users"
2PM reviews and catches error: filters are enterprise-only initially
3PM edits the draft to clarify availability
4PM approves the corrected version
5Only the corrected message is posted to Slack

Outcome

A potentially embarrassing miscommunication is caught before it reaches customers. The draft-only model prevented the error from going live.

Is this right for you?

If you answer "yes" to any of these, draft-only AI agent can help.

Are you worried about AI making mistakes in production?

Do you need human review before AI outputs go live?

Is your team hesitant to adopt AI due to risk concerns?

Do you need to demonstrate AI controls to leadership?

Have you seen AI tools make embarrassing errors?

The pmkit Solution

How pmkit handles draft-only AI agent

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 draft-only AI agent in the demo

See it in action with a complete mock enterprise dataset. No signup required.

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Frequently Asked Questions

Related Resources

Enterprise PM Governance: RBAC and Audit Trails

Implement enterprise-grade governance with role-based access control, audit logging, and compliance features.

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