Building an Effective AI Governance Framework for Your Organization

If your organisation is already using AI, or if you're planning to expand its use, you need to make sure your operational risk management framework can support it. AI governance ensures that your organisation is using AI responsibly and securely, and in a way that supports your business goals.

Gartner predicts that by 2028, one out of every three interactions with generative AI will involve autonomous agents carrying out tasks on behalf of users. As AI takes on a bigger role across organisations, it's worth asking if your current operational risk management framework is prepared for the challenges that come with it. An IT security risk assessment in Poland can help you identify potential gaps and determine opportunities and challenges in managing AI-related risks.

The growing need for an AI governance framework

AI adoption has grown incredibly quickly over the last few years. In fact, Aon found that 88% of organisations were already using AI in at least one part of their business in 2025. But while many companies are rolling out AI tools, very few have put proper governance structures in place. Research from Economist Impact found that only 8% of organisations had a comprehensive AI governance framework.

That creates a significant gap between using AI and managing it responsibly. Many organisations are introducing AI into their operations without establishing the operational risk management framework needed to monitor risks and make sure the technology is being used appropriately.

According to IBM, 87% of organisations say they have clear AI governance frameworks; however, fewer than a quarter have fully implemented the controls needed to address issues such as bias and transparency, as well as security. Put simply, having a policy document is one thing. You also need to ensure that your entire organisation is following those policies actively.

If you're still figuring out how AI governance should work within your business, an IT security risk assessment in Poland can be a useful starting point. It can help identify weaknesses in your current approach and provide practical recommendations for building a stronger governance framework. With the right structure in place, you can take advantage of AI while maintaining accountability and control over risk.

Building an effective framework

You need technical expertise when creating an effective AI-focused operational risk management framework. At the same time, you need to bring together all key players in your organisation, from business leaders to technology teams and executives, in the process. The goal is to establish clear responsibilities and consistent oversight.

With an IT security risk assessment in Poland, you can be sure that your AI governance framework has all the core principles to make it effective. These are:

• Accountability
• Transparency
• Ethics
• Security
• Compliance

Get expert help for your AI governance framework

With Cybersecurity Analytics, you can get a customised operational risk management framework that incorporates AI governance from the start. Their tailored solutions help reduce your operational and legal risks while improving accountability and oversight as AI programmes expand.

Visit their website to arrange your IT security risk assessment in Poland through their contact form or by emailing info@cyberanalytics.pl. If you want to speak to one of their team members, you may give them a call at +48 886 282 803.

About the Author

CA Cybersecurity Analytics is a team of experts with over a decade of experience protecting companies’ data, infrastructure, and reputation. We help organisations of all sizes build robust Information Security Management Systems (ISMS) using risk strategies, AI/Generative AI, and streamlined cybersecurity tools tailored to each business.