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GenAI Policy Template for End-User Technology Leaders

Publisher IDC
Published Apr 14, 2025
Length 11 Pages
SKU # IDC19954091

Description

This IDC Perspective provides a GenAI policy responding to client needs for a best practice GenAI governance policy to leverage. It responds to increasing client demand for GenAI policy guidance, leveraging research and real-world insights to accelerate policy implementation. The document emphasizes integrating GenAI policies into broader governance frameworks and provides a structured template to support organizations. Finally, it offers strategic advice for end-user technology leaders to ensure GenAI investments align with governance policies, regulatory standards, and ethical considerations, helping organizations implement GenAI responsibly while fostering innovation. “A well-defined GenAI policy framework is essential for organizations to scale GenAI responsibly, ensuring compliance, ethical integrity, and strategic alignment. By leveraging structured policy templates and best practices, organizations can accelerate implementation, mitigate risks, and maximize the value of their GenAI investments,” says Daniel Saroff, group vice president, Consulting and Research, IDC.

Table of Contents

11 Pages

Executive Snapshot

Situation Overview

The Need for GenAI Governance

What Makes an Effective Policy?

Policy Versus Process and Procedure Documents

Implementing Your GenAI Policy

IDC GenAI Policy Template

1.0 Purpose

2.0 Scope

3.0 Use of Generative AI

4.0 Limitations on Use

5.0 Record Keeping, Monitoring, and Security

6.0 Enforcement

7.0 Resources

8.0 Data Protection and Confidentiality

9.0 Policy Adherence

Optional Section 1: Flexible AI Governance for Teams with Custom GenAI Capabilities

Optional Section 2: GenAI Usage Policy for Data Sovereignty Compliance

1.0 GenAI Hosting and Processing Requirements

2.0 Data Storage and Transfer Restrictions

3.0 Approved GenAI Tools and Services

4.0 Monitoring and Compliance Enforcement

Advice for the Technology Buyer

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Related Research

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