Turn AI governance intentions into documented reality
Create, manage, and distribute AI policies with a rich text editor, structured workflows, and complete change history.
The challenge
AI policies exist—but can anyone find them?
Most organizations have AI governance intentions documented somewhere: SharePoint folders, Google Docs, email attachments, or Word files on someone's laptop. When auditors ask for your AI ethics policy or regulators want to see your human oversight procedures, the scramble begins. Policies without a system aren't really policies—they're good intentions.
Policies scattered across file shares, cloud drives, and email threads
No clear ownership or review schedule—policies become outdated
Version confusion: which document is the current, approved version?
No connection between policies and the risks or controls they address
Auditors ask for documentation and teams spend hours searching
Benefits
Why use Policy manager?
Key advantages for your AI governance program
Write policies with a full-featured rich text editor
Move policies through a clear lifecycle with review gates
Export to PDF or DOCX for distribution and audits
Link policies to risks, evidence, and compliance controls
Capabilities
What you can do
Core functionality of Policy manager
Rich text policy editor
Create professional policy documents with headings, lists, tables, and links, no external tools needed.
Review scheduling
Set next review dates and receive automated reminders before policies expire or need updates.
Lifecycle management
Move policies through Draft, Under Review, Approved, Published, Archived with clear status visibility and version history.
Cross-linking
Connect policies to related risks, evidence, and compliance controls for complete traceability.
Policy analytics
Track policy coverage, review completion rates, and expiring documents across your organization.
Enterprise example
How an organization brought order to scattered AI policies
See how organizations use this capability in practice
The challenge
An organization preparing for ISO 42001 certification discovered their AI policies were spread across multiple systems. The AI ethics policy was in SharePoint, the model development guidelines were in Confluence, and the data governance policy existed only as an email attachment from two years ago. Nobody knew which versions were current or who was responsible for updates.
The solution
They consolidated all AI governance policies into a centralized policy manager. Each policy was assigned an owner, tagged by topic, and moved through a formal review workflow. Review dates were scheduled, and policies were linked to the relevant ISO 42001 controls they addressed.
The outcome
During the certification audit, the organization could instantly show auditors every relevant policy, its current status, when it was last reviewed, and how it connected to specific ISO 42001 requirements. The auditors noted the clear governance structure as a strength. Ongoing policy maintenance became routine instead of reactive.
Why VerifyWise
Policies that work as hard as you do
What makes our approach different
Write once, export anywhere
Create policies in a rich text editor with tables, images, and formatting. Export to PDF or DOCX for distribution, board presentations, or audit submissions.
Clear lifecycle with accountability
Every policy moves through defined stages: Draft, Under Review, Approved, Published, Archived, Deprecated. Assign reviewers and track who changed what.
19 governance tags built-in
Tag policies with AI Ethics, Transparency, Human Oversight, Vendor Management, and 15 more categories. Filter and find policies instantly.
Connected to your governance ecosystem
Link policies to the risks they mitigate, the evidence that supports them, and the compliance controls they implement. When auditors ask, you have answers.
Regulatory context
Policies are the foundation of AI governance
AI regulations and standards require documented policies across multiple domains: ethics, risk management, human oversight, data governance, and more. A centralized policy system ensures you can demonstrate that policies exist, are current, and are being followed.
Requires providers to establish quality management systems with documented policies for risk management, data governance, technical documentation, and human oversight.
Clause 5.2 requires an AI policy that is documented, communicated, and available to relevant interested parties. Multiple clauses reference documented procedures.
The GOVERN function emphasizes organizational policies that define AI risk management roles, responsibilities, and accountability structures.
Technical details
How it works
Implementation details and technical capabilities
Plate.js rich text editor with bold, italic, headings (H1-H3), bullet/numbered lists, tables, images, and links
19 predefined policy tags: AI Ethics, Fairness, Transparency, Explainability, Bias Mitigation, Privacy, Data Governance, and more
6-stage lifecycle: Draft→Under Review→Approved→Published→Archived→Deprecated
Multi-format export to PDF (A4, branded) and DOCX with full formatting preservation
Link policies to three object types: controls, risks, and evidence for complete traceability
Reviewer assignment with multi-reviewer support and review date scheduling
Complete change history tracking all field modifications with user attribution
Supported frameworks
Integrations
FAQ
Common questions
Frequently asked questions about Policy manager
The rich text editor supports headings (H1-H3), bold, italic, underline, bullet and numbered lists, tables with headers, images, links, and blockquotes. Everything you need for professional policy documents without external tools.
Policies move through six stages: Draft (initial creation), Under Review (assigned reviewers evaluate), Approved (ready for publication), Published (active and in effect), Archived (no longer active but preserved), and Deprecated (superseded by newer policy).
Tags include: AI Ethics, Fairness, Transparency, Explainability, Bias Mitigation, Privacy, Data Governance, Model Risk, Accountability, Security, LLM, Human Oversight, EU AI Act, ISO 42001, NIST RMF, Red Teaming, Audit, Monitoring, and Vendor Management.
Policies can be linked to three object types: compliance controls (showing which requirements the policy addresses), risks (showing which risks the policy helps mitigate), and evidence (supporting documentation). These links create full traceability for audits.
More from Operate
Related capabilities
Other features in the Operate pillar
Ready to get started?
See how VerifyWise can help you govern AI with confidence.