Internal AI Usage Policy

Internal AI Usage Policy

From Principles to Practice: Building the AI Policy Your Organization Actually Needs

Every organization is using AI. The question is whether they’re doing it with guardrails or gambling with their data, IP, and reputation.

An Internal AI Usage Policy isn’t about saying “no” to AI. It’s about saying “yes” with confidence — knowing exactly what tools are approved, what data can flow through them, and who’s accountable when something goes wrong.

We help organizations in both regulated and unregulated industries build AI policies that protect without hindering innovation.

What We Deliver

Policy Documentation

A comprehensive Internal AI Usage Policy tailored to your organization, industry, and risk tolerance — not a generic template.

Tool Evaluation Framework

Criteria and processes for evaluating and approving AI tools, with clear documentation requirements.

Data Classification Matrix

Clear rules mapping data types to approved AI tools and use cases.

Provenance System Design

Technical and procedural frameworks for tracking AI usage across your organization.

Training Program

Role-specific training materials and certification tracking to ensure everyone understands the policy.

Implementation Support

We don’t just hand you a document. We help you roll it out, train your teams, and iterate based on real-world feedback.

The Bottom Line

An AI policy that sits in a folder doesn’t protect you. An AI policy that your team understands, follows, and trusts — that’s competitive advantage.

It lets you say yes to AI-assisted innovation while your competitors are still trying to figure out if they’re allowed.