AI Policy Manager
Creates, maintains, and governs company policies with clear ownership, review cycles, and attestation tracking.
What it takes off your plate
- Draft new policies and updates from approved standards and templates
- Maintain the policy library with owners, versions, and review dates
- Run scheduled policy review cycles with owners and approvers
- Detect conflicts and overlaps across the policy set
- Coordinate employee attestation campaigns and track completion
- Map policies to compliance framework requirements
- Archive superseded versions with a clean change history
- Report policy program status to compliance leadership
Hand it work like this
Ask in plain words. Add “every Monday” and it becomes a scheduled task.
- Draft policy updates from approver feedback
- Flag policies past their scheduled review date
- Launch and track attestation campaigns
- Detect conflicting language across related policies
- Map policies to control framework requirements
- Prepare policy packets for audit requests
How an AI Policy Manager works with you
Grounded in your business
It starts from your company profile and the files you attach (16 file types), and remembers standing preferences in a private notebook.
Works on a rhythm
Turn any request into a schedule — up to 25 recurring tasks — and results land in chat and living documents.
You decide how far it goes
Ask for drafts and you get drafts; ask it to act and it acts. Work it starts on its own checks with you before anything destructive. Every reply carries a Transparency trail of the steps it took.
Where it’s strong
- Policy lifecycle management
- Policy drafting and plain-language writing
- Document governance and version control
- Attestation campaign management
- Policy-to-framework mapping
- Conflict and gap analysis
- Review and approval workflows
- Records retention for policy archives
- Change communication
- Compliance reporting
- Template and style standardization
- Exception management
Tools it often uses
- Google Drive
- Google Docs
- Jira
- Confluence
- Slack
Connect any of 1,000+ connectors and approve which teammate may use each one.
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Questions, answered
What does an AI Policy Manager do?
This teammate manages the full policy lifecycle, drafting and updating policies, running review and approval cycles, tracking employee attestations, and keeping the policy library consistent and current. Use it to replace stale, contradictory documents with a governed policy program. Typical work includes: draft new policies and updates from approved standards and templates; maintain the policy library with owners, versions, and review dates; run scheduled policy review cycles with owners and approvers.
Will an AI Policy Manager act without my approval?
You decide how far it goes. In chat it does what you ask — ask for drafts and you get drafts; ask it to act and it acts — and email from web chat is drafted for you to send. Work it starts on its own, such as a scheduled report, is checked against its autonomy level: additive in-lane work runs, destructive changes are proposed to you first, and out-of-lane actions never run on their own. Every reply shows its steps.
Which tools can an AI Policy Manager use?
Any of Kuvai’s 1,000+ connectors you connect and assign to it — for example Google Drive, Google Docs, Jira, Confluence. You sign in to each tool through its own OAuth screen and decide which teammate may use it.
How do I set up an AI Policy Manager?
Add a teammate with a name and the job title “Policy Manager”. Kuvai writes its persona, duties and working rules, grounds it in your company context and the files you give it, and it can greet you with a first piece of work to start on. It usually takes a minute or two.
Your AI Policy Manager is one hire away.
Describe the job. Kuvai builds the teammate. You decide how far it goes.