Have Questions?

Product Capabilities & Scope

What exactly does InPolicy do?+

What kinds of policies can InPolicy enforce?+

Can we apply policies only to external communications, not internal ones?+

Which specific apps does it support?+

Does it support multiple languages?+

The AI & Accuracy

How does the AI understand our specific company rules?+

What types of policies can InPolicy enforce?+

How does InPolicy handle context — what if the violation only makes sense across a full thread or document?+

Does the AI "hallucinate" policies that don't exist?+

What's the false positive rate? Can we tune it down?+

Does InPolicy work on content generated by AI, not just humans?+

How is this different from just pasting a document into ChatGPT and asking it to check for policy violations?+

Can we adjust the "sensitivity" of the AI?+

Policy Management & Governance

Does InPolicy help us write policies, or do we have to write them ourselves?+

How are policies organized?+

What does the policy approval workflow look like?+

What roles does InPolicy support?+

Can different departments have different rules?+

Can we use a live web page as a policy source?+

Does InPolicy detect conflicts between policies?+

What analytics are available to admins?+

Can I see which employees have the most violations?+

Can I export the analytics?+

Who can see the dashboard?+

User Experience

Does InPolicy block the user from sending the message?+

Is it annoying? Will it pop up constantly?+

What does the "Fix" look like?+

Does it slow down typing?+

What happens after a violation is flagged — is there an escalation path?+

Does InPolicy work on browsers other than Chrome?+

Security, Data & Privacy

For detailed information on InPolicy's security architecture, data handling practices, and privacy posture, please refer to our Data Handling Overview, Privacy Policy, and Data Processing Agreement (DPA). If you have specific procurement or legal requirements, contact us at security@inpolicy.ai.

InPolicy does not use customer data — including policy documents, communications, or violation metadata — to train, fine-tune, or improve any AI model. This applies to both InPolicy's own systems and any third-party model providers we use.

For organizations with requirements around data residency or model access, private inference options — including deployment configurations that keep all data within your own cloud environment — are on our roadmap. Contact us to discuss your requirements.

Deployment & IT Architecture

How long does onboarding take?+

Which Identity Providers (IdP) do you support for SSO?+

Can we deploy this silently?+

What if we use a custom internal web app?+

Does it conflict with other extensions?+

Does InPolicy integrate with existing compliance or DLP tools?+

AI Agents & Automation

Our company is deploying internal AI assistants and chatbots. Can InPolicy govern those too?+

What if an AI agent takes an action (not just sends a message) that violates policy?+

Implementation & Support

What does the pilot process look like?+

What support is available post-launch?+

Commercial & Billing

How much does it cost?+

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