Data Privacy, Ownership, and Control
A practical objection to any AI platform is simple: 'What happens to our data?' Hrizn is built so customers stay in control.
What Happens to Our Data?
“Are you training models on our data?” “Who owns the content and outputs?” “Can our information leak into another dealership's results?” “What data are you storing and for how long?”
These are not theoretical concerns. When a dealership shares business context, competitive intelligence, pricing strategy, and customer insights with a platform, the ownership and handling of that data becomes a real business risk. Responsible AI starts with responsible data handling, and compliance and legal teams need clear answers.
Your data is your asset. AI should not require you to give up control of it.
Your Data, Your Control
Hrizn is designed so that ownership stays clear and control remains with the customer:
Your inputs, decisions, and business context remain yours. Hrizn exists to support your workflow, not to claim ownership of your strategy or content
Content you create in Hrizn belongs to you. AI-assisted outputs are your assets, ready for your publishing decisions
Dealer DNA and Brand Voice profiles are your intellectual property. The unique identity data you contribute is yours to keep, update, or remove
Workspace Separation and Role-Based Access
Not everyone should have the same permissions. And one client's data should never bleed into another's workspace. Hrizn enforces separation at the architectural level:
Dealership groups, rooftops, and agency clients are separated in inputs, workspaces, approvals, and outputs
Role-based access controls ensure the right people have the right permissions. Content creators, reviewers, and admins see different views
Review and approval workflows protect quality by ensuring content passes through the right checkpoints before it can be used
Multi-dealership architecture supports agency clients managing multiple accounts without data cross-contamination
What Responsible Data Use Looks Like
A human-first workflow includes clear guardrails around data:
Clear definitions of what data is used and how: no hidden training, no opaque data pipelines
Clear governance on who can generate and approve content, defined by your team, not by the platform
Clear accountability for what goes live: every published piece has a named human reviewer. See who is accountable when AI is used.
If an AI tool requires surrendering control of data and outcomes, it creates risk. Hrizn's approach is the opposite: keep control with the team, keep responsibility human, and use AI to accelerate work without absorbing ownership. Learn more about the team and company behind these principles.
If you cannot control your data, you cannot control your risk.
Your data stays yours. Your outputs stay yours. Hrizn is built to support your workflow, not claim ownership of it.
Explore Related Hrizn Features
See how these principles are built into the platform.
