![\"Eurostat:](\"https:\/\/getafix.fi\/wp-content\/uploads\/2025\/08\/Yritykset-jotka-kayttavat-tekoalya-2024-1024x576.png\")
<\/figure>\n\nSource dataset: isoc_eb_ai, image: Eurostat<\/p>\n\n
According to a study by ISACA<\/strong><\/a>, 83% of IT and business professionals utilize generative AI in their work, but only 31% of companies report having created a formal, comprehensive AI policy.<\/strong><\/p>\n\n Large corporations, such as Microsoft, Google, and many financial and public sector actors, already have an AI policy or at least internal guidelines for AI use. In small and medium-sized enterprises, a policy may be completely missing or vague. \u201cUse common sense\u201d<\/em> is not enough when talking about data security, ethics, or AI input data. <\/p>\n\n 1. Data Privacy Is Easily Compromised<\/strong> 2. Unclear Liability<\/strong> 3. Uneven Skill Levels 4. Ensuring Regulatory Compliance<\/strong> Utilizing AI is already quite easy and tempting for tasks like pre-screening job applicants from a large pool of applications. However, AI systems used for making recruitment decisions or decisions affecting them (e.g., automated pre-screening, ranking, or scoring of applications) are considered high-risk systems under the regulation, requiring a specific mode of operation. <\/p>\n\n The requirements of the regulation necessitate a systematic approach that a company’s own AI policy can provide. It helps the company avoid heavy administrative consequences and fines, which can amount to millions of dollars. <\/p>\n\n Microsoft 365 Copilot brings AI directly into a familiar work environment, lowering the threshold for its use. It is an excellent assistant for tasks like quickly drafting emails or reports and for general brainstorming. <\/p>\n\n However, without boundaries and guidelines on what data can be entered and how its outputs can be used, the tool becomes a risk.<\/p>\n\n For example:<\/p>\n\n <\/p>\n\n An AI policy is not bureaucracy \u2013 it is a practical playbook that makes the use of AI safe and efficient.<\/p>\n\n 1. Assess Current Usage<\/strong> 2. Define the Rules 3. Inform and Train<\/strong> 4. Monitor and Develop<\/strong> A well-drafted AI policy clearly defines the purposes for which AI may and may not be used. For example, manipulative, discriminatory, or misleading use should be specifically prohibited. At the same time, the policy addresses data protection issues, particularly GDPR compliance, ensuring that personal data is processed securely and transparently. <\/p>\n\n It is also important to appoint responsible persons who monitor AI usage and report any potential risks or deviations. Additionally, the policy includes training instructions for staff and requirements for the appropriate labeling of AI-generated content, so that users recognize when they are interacting with machine-generated material. <\/p>\n\n Starting February 2, 2025, organizations must ensure the AI literacy of their staff, meaning employees must have sufficient awareness of the impacts of AI implementation. This applies to all companies, not just those in the technology sector. Monitoring and enforcement rules will apply from August 3, 2026, so companies must consider over the next year how AI is actually being used within their organizations. <\/p>\n\n At Getafix, we have helped companies master Copilot and other AI tools in a way that combines business benefits, data security, and ethics. Contact us,<\/strong><\/a> and let’s build AI ground rules together that stand the test of time.<\/p>\n","protected":false},"excerpt":{"rendered":" AI tools such as Microsoft Copilot, ChatGPT, and other generative AI solutions have rapidly become part of everyday business operations. They help speed up routine tasks, generate content, and even assist in strategic planning. However, surprisingly few companies yet have documented guidelines on how AI should be used responsibly, securely, and in a way that … Read more<\/a><\/p>\n","protected":false},"author":6,"featured_media":3487,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[45,57,46],"tags":[],"class_list":["post-3486","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","category-cybersecurity-and-continuity","category-it-tools-for-personnel"],"_links":{"self":[{"href":"https:\/\/getafix.fi\/en\/wp-json\/wp\/v2\/posts\/3486","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/getafix.fi\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/getafix.fi\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/getafix.fi\/en\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/getafix.fi\/en\/wp-json\/wp\/v2\/comments?post=3486"}],"version-history":[{"count":1,"href":"https:\/\/getafix.fi\/en\/wp-json\/wp\/v2\/posts\/3486\/revisions"}],"predecessor-version":[{"id":3488,"href":"https:\/\/getafix.fi\/en\/wp-json\/wp\/v2\/posts\/3486\/revisions\/3488"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/getafix.fi\/en\/wp-json\/wp\/v2\/media\/3487"}],"wp:attachment":[{"href":"https:\/\/getafix.fi\/en\/wp-json\/wp\/v2\/media?parent=3486"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/getafix.fi\/en\/wp-json\/wp\/v2\/categories?post=3486"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/getafix.fi\/en\/wp-json\/wp\/v2\/tags?post=3486"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Why Is an AI Policy Important?<\/h2>\n\n
Copilot Is a Useful Tool, but Not a Solution on Its Own<\/h2>\n\n
![\"Questions](\"https:\/\/getafix.fi\/wp-content\/uploads\/2025\/08\/Image-25-08-25-at-10.18-1024x233.jpeg\")
<\/figure>\n\nHow Is an AI Policy Created?<\/h2>\n\n
What Does an AI Policy Look Like?<\/h2>\n\n
Getafix Helps Build an AI Policy That Works<\/h2>\n\n