AI Risks Canvas

The AI Risk Canvas helps you identify and manage risks in your AI project:

  • Prevent costly mistakes with early risk detection
  • Build stakeholder confidence through accurate risk analysis
  • Optimize data governance and security for your AI applications
  • Establish a solid foundation for scalable AI deployment

What can you expect?

The AI Risk Canvas is one of the tools we’ve developed to help companies identify and manage risks in their AI projects.

This practical instrument guides you through evaluating data-related, legal, ethical, and organizational risks associated with AI implementation.

By carefully completing each section, you’ll build a comprehensive view of potential challenges and opportunities for risk management—tailored to your organization’s unique context.

Download the AI Risk Canvas now and take a crucial step toward responsible, secure AI integration in your business.

Discover other useful tools

Starting AI projects can be hard, that is why we’ve created these canvases to help companies.

AI Ethics Canvas

AI and ethics are inseparable. AI will, in many cases, impact employees, affect users, or come into contact with customers’ (sensitive) data.

The AI Ethics Canvas is the ideal tool to kickstart the ethical reflection around your AI project.

AI Project Canvas

The first step in a project is often the hardest but also the most important. That’s why we want to support companies looking to take their first step into AI.

The AI Project Canvas helps you think, in business terms, about the goal and structure of your AI solution.

AI GDPR Canvas

The AI EU Act was created to steer AI projects in the right direction. But of course that doesn’t mean your AI project isn’t subject to the already established GDPR rules.

The AI GDPR Canvas helps you analyze whether GDPR applies to your project and determine the minimum data you need.

AI Success Metrics Canvas

Every AI project needs clear, measurable goals to prove its value.

The AI Success Metrics Canvas helps you define the business outcomes and adoption metrics that matter, pinpoint where to source your data, and identify potential risks to ensure your solution delivers real, trackable impact.