Why Your Company Needs an AI Usage Policy and How to Create It
The adoption of Artificial Intelligence (AI) is transforming the business fabric at high speed and an AI Use Policy is becoming a must. Automation, efficiency, personalization, predictive analytics… it all sounds good. But with this revolution comes a new responsibility: defining how to use AI within your company. Having an AI Use Policy is no longer an option for organizations, although it is still not a legal requirement in most countries. It is a key step in protecting the company’s assets, ensuring regulatory compliance and strengthening internal and external trust.
Having an AI Use Policy is aligned with the EU AI Act which sets deadlines for implementing the main measures:
| Date | Milestone |
|---|---|
| 21 April 2021 | European Commission presents the first proposal for the AI Act. |
| 6 December 2022 | EU Council adopts its general approach to the proposed regulation. |
| 9 December 2023 | Provisional political agreement reached between the European Parliament and the Council. |
| 13 March 2024 | European Parliament formally adopts the AI Act. |
| 21 May 2024 | Council of the EU gives final approval. |
| 12 July 2024 | AI Act is published in the Official Journal of the European Union. |
| 1 August 2024 | AI Act enters into force (20 days after publication). |
| 2 February 2025 | Provisions on prohibited AI practices and AI literacy obligations take effect. |
| 2 May 2025 | Codes of practice for general-purpose AI (GPAI) systems must be ready. |
| 2 August 2025 | Provisions on governance, notified bodies, GPAI rules, penalties, etc., start to apply. |
| 2 August 2026 | Rules for high-risk AI systems become fully applicable. |
| 2 August 2027 | Final provisions (e.g. Article 6(1) obligations for pre-existing high-risk systems) come into effect. |
What Risks Does an AI Usage Policy Help Minimize?
Implementing an AI Usage Policy helps reduce key risks across multiple areas:
● Legal and regulatory: It ensures compliance with data protection laws (like GDPR), intellectual property, and industry-specific regulations. It defines what data can be used, in which contexts, and with what oversight.
● Reputational: It protects against errors, offensive content, or uncontrolled AI-generated outputs. A clear policy strengthens internal and external trust through responsible and transparent practices.
● Security: It prevents data leaks or the use of unauthorized tools that could compromise internal systems. Classifying data and controlling tool integrations are essential safeguards.
● Operational: It avoids inconsistent use of AI between teams, over-reliance on automation, and the loss of audit trails. A good policy promotes human oversight and conscious use.
● Ethical: It reduces the risk of bias in automated decisions (e.g., hiring, customer service) and ensures corporate values are preserved in all AI interactions.
A Practical Roadmap for AI Usage Policy
As with the implementation of any new technology, introducing artificial intelligence (AI) into an organization requires a prior risk analysis to identify and assess the potential impact of its misuse. This process is essential for detecting vulnerabilities, preventing unintended consequences, and ensuring that AI is integrated in a safe, ethical, and goal-aligned manner. Moreover, it is crucial for complying with current regulatory frameworks, such as the European Union’s AI Act, which sets specific obligations for high-risk systems and promotes the responsible management of AI technologies.
If you’re a CEO, Head of IT or Quality, here’s how to get started:
Understand current usage
Create a short internal survey. Ask employees: What AI tools are you using? For what tasks? What kind of data are you feeding into them? The answers will give you a realistic picture of the current state of AI use in your organization.
Draft a tailored AI Usage Policy
There’s no one-size-fits-all. Your company’s industry, whether B2B or B2C, your risk profile
and market regulations all matter. Classifying AI practices helps clarify expectations:
● Prohibited ⛔: e.g., inputting sensitive data into public AI platforms.
● High-risk ⚠️: such as client-facing content generated by AI without human review.
● Allowed ✅: internal automation, data analysis with approved tools, assisted writing.
Involve your internal experts
Before finalizing, review the policy with your IT, Compliance, and Quality leaders. If you have a DPO (Data Protection Officer), bring them in. Their input will prevent blind spots and ensure regulatory alignment.
Communicate and educate
Once the policy is ready, make sure people understand it. Share it across the company, hold
a briefing session, and offer a space (Slack, Teams, etc.) where staff can ask questions or raise concerns.
Review and update regularly your AI Usage Policy
AI evolves constantly. What’s acceptable today may be risky tomorrow. Build a quarterly or
biannual review process to keep the policy aligned with reality.
Monitor tool usage
Track which AI tools are being used across the company and for what purposes. Implement
an approval system for any new tools employees wish to adopt.
Classify your data
Classify business data into categories such as general, confidential, and restricted. This data
sensitivity map will guide what can (and cannot) be processed through AI tools.
Author: Victor Roselló, Lawyer.
If you need help writing the AI Use Policy in your company, contact us!
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