IntuitionLabs

AI Policy & Governance

Clear policies, data classification frameworks, and compliance guidelines that let your team use AI confidently while protecting sensitive data and meeting regulatory requirements.

Why Your Company Needs an AI Policy

Without clear AI governance, employees will use AI tools on their own terms -- often sharing confidential data, skipping review processes, or creating compliance risks they do not even recognize.
Related topics
Data ClassificationUsage GuidelinesComplianceRisk ManagementTraining Materials

The Risk of No Policy

A recent survey found that 68% of employees using AI at work have never disclosed it to their employer. In regulated industries, this creates serious risks:

  • Confidential clinical data entered into consumer AI tools
  • AI-generated regulatory content submitted without human review
  • Intellectual property shared with AI platforms that train on user inputs
  • No audit trail for AI-assisted decisions in GxP environments
  • Inconsistent practices across departments creating compliance gaps

Our Approach

We develop policies that enable AI adoption rather than block it. The goal is clear guardrails that let employees use AI confidently, knowing exactly what they can and cannot do with different types of data and different AI tools.

Data Classification Framework

A 4-tier framework that maps directly to AI tool permissions, making it simple for employees to know what data can be used where.

Tier 1: Public

Information that is publicly available or intended for public disclosure.

AI Permission:

Any approved AI tool

Examples:

  • Published research papers
  • Press releases
  • Public website content
  • Industry news

Tier 2: Confidential

Internal business information not intended for public disclosure.

AI Permission:

Enterprise AI tools only

Examples:

  • Internal presentations
  • Meeting notes
  • Draft communications
  • General business plans

Tier 3: Restricted

Sensitive business information with limited access.

AI Permission:

Approved tools with restrictions

Examples:

  • Financial data
  • Competitive intelligence
  • Unpublished research data
  • Employee information

Tier 4: Sensitive / Regulated

Data subject to regulatory requirements or legal restrictions.

AI Permission:

No AI tool usage

Examples:

  • Patient / PHI data
  • GxP records
  • Regulatory submissions
  • Clinical trial data

Policy Deliverables

Complete, ready-to-implement policy documents tailored to your organization. Not recommendations -- actual documents you can approve and deploy.

Master AI Usage Policy

Comprehensive policy document covering approved tools, acceptable use, data handling requirements, review processes, and enforcement. Ready for your document management system.

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Data Classification Matrix

Complete mapping of your data types to the 4-tier classification framework with clear AI tool permissions for each tier. Includes decision tree for edge cases.

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Employee Guidelines

Plain-language quick reference guide for employees covering dos and do-nots, approved tools, data handling rules, and escalation procedures. Designed to be printed or posted on intranet.

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Department-Specific Rules

Customized guidelines for each department (Clinical, Regulatory, Commercial, Finance, etc.) with role-specific examples and approved use cases relevant to their workflows.

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Training Materials

Slide deck, handouts, and assessment quiz for rolling out the AI policy to your organization. Can be delivered by your team or by IntuitionLabs trainers.

Workshop options

Review Framework

Quarterly review schedule, update process, incident reporting template, and criteria for triggering policy updates. Keeps your policy current as AI evolves.

Ongoing support

Compliance Considerations

Our AI policy framework addresses the regulatory requirements most relevant to pharmaceutical and biotech companies.

21 CFR Part 11

Ensuring AI-assisted processes maintain electronic record integrity, audit trails, and electronic signature requirements. Defines when AI-generated content requires formal validation.

HIPAA

Strict prohibitions on entering protected health information (PHI) into AI tools. Guidelines for de-identification, business associate agreements with AI vendors, and breach notification protocols.

EU AI Act

Classification of AI systems by risk level, transparency requirements for AI-generated content, and documentation obligations for high-risk AI applications in healthcare and life sciences.

Frequently Asked Questions

Ready to Govern AI Responsibly?

Book a call to discuss your AI policy needs. We will help you create clear, practical governance that enables adoption while protecting your organization.

Schedule a Consultation

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