Lead with AI PRO

Your AI is only as trustworthy as the information behind it. Organizations are racing to adopt AI, but many are overlooking a fundamental challenge: the quality, structure, and reliability of the information their AI systems depend on.

When information is fragmented, outdated, or difficult to trust, AI doesn't automatically fix the problem. It can amplify it.

So how can leaders build a stronger information foundation before scaling AI across their organizations?

Join Marie Felsbourg, Founder & CEO of KeyDocs, for a practical conversation about information quality, organizational trust, and preparing business knowledge for responsible AI adoption.
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​What You'll Explore:

• The hidden information problem: Why fragmented and unreliable information creates challenges for AI adoption.
• Trust starts with information: How information quality influences the reliability of AI-generated outputs.
• Reducing organizational risk: Why stronger information practices matter for governance, accuracy, and accountability.
• Preparing knowledge for AI: Practical ways to improve the structure, accessibility, and usefulness of organizational information.
• Building for long-term success: How leaders can establish more trustworthy foundations for AI-powered work.
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Who Should Attend?
​Business executives, transformation leaders, knowledge and information management professionals, and anyone responsible for implementing AI reliably across an organization. Before you scale AI, make sure your information is ready.​
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​Thursday, December 10 2026​
​8:00 AM UK / 9:00 AM CET / 3:00 AM ET / 12:00 AM PT
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​About Marie Felsbourg ​

Marie leads KeyDocs and brings a perspective on the importance of reliable, well-managed information in helping organizations prepare for AI adoption. Her session explores why getting information right is a critical step toward building AI systems that leaders and teams can trust.

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