Documents
Maintain policy records with category, audience, owner, effective dates, review dates, and current published version tracking.
PolicySquirrel
Contact
Trusted policies. Clear answers.
A governed policy operations workspace for creating, controlling, publishing, and understanding internal policies with confidence.
Product
PolicySquirrel is being built for organizations that have outgrown shared folders, static PDFs, and spreadsheet trackers. The current MVP supports tenant onboarding, users, roles, permissions, policy records, version workflow, Markdown drafting, checkout locks, duplicate draft safeguards, approval separation, publishing, audit history, acknowledgement campaigns, pinned policies, and employee-facing published policy reading.
Features
Maintain policy records with category, audience, owner, effective dates, review dates, and current published version tracking.
Guide drafts through review, approval, and publishing with checkout controls, approval separation, and audited override paths.
Manage tenant users, roles, and granular permissions for policy editing, review, publishing, and administration.
Assign published policy versions for acknowledgement, track completion, and keep acknowledged policies easy for employees to revisit.
Review policy, user, role, acknowledgement, pin, and approval override events from policy timelines and a global audit view.
Secure, reliable, and always grounded in approved content.
Clear policies. Better decisions.
Easy to use. Easy to love.
Built to scale. Ready for tomorrow.
Who it serves
Centralize policy content, publish current versions, give employees a clean read-only policy view, track acknowledgements, and prepare for AI-assisted answers.
A focused wedge into policy operations for teams underserved by ad hoc folders and heavyweight GRC suites.
A practical product mission at the intersection of knowledge governance, compliance, and trustworthy AI.
Roadmap
The near-term path is intentionally grounded: strengthen policy operations and acknowledgements first, then introduce AI only after published-version governance is solid.
Contact
For pilot conversations, investor discussions, or candidate interest, reach out with your organization, policy workflow pain points, and the kind of conversation you want to have.