From Harvard Business Review, an eighty-five million dollar revenue company based in Austria, researchers investigated the integration of artificial intelligence into executive decision-making. Over the course of a year, they conducted various interventions, including using ChatGPT to generate discussion prompts during meetings. The findings revealed that while AI could enhance executive discussions, it required active human engagement to be effective. Executives noted that AI disrupted established thought patterns, prompting deeper analysis and consideration of new options. However, reliance on AI created an illusion of completeness, which could lead to oversight of critical issues, such as legal implications. Ultimately, the study highlighted the potential for AI to improve the speed and efficiency of boardroom discussions, providing rapid data analysis and cost-saving opportunities. This research builds upon earlier studies showing that large language models can outperform humans in tasks like product design and market intelligence, further emphasizing the transformative role AI could play in corporate governance.
Why do we care?
One of my predictions for last year was a company putting AI on it’s board. While I didn’t get the prediction… well, here’s the experiment.
This study validates the growing role of AI in executive decision-making, but it also highlights the limitations that kept AI from fully replacing human judgment—especially in governance and high-stakes strategic planning.
While AI accelerates information gathering and analysis, executives in the study mistakenly assumed AI-generated insights were comprehensive, which can lead to critical blind spots.
For MSPs offering AI-driven automation or decision-support tools, this underscores the need for human oversight—especially in areas like cybersecurity, compliance, and financial forecasting.
Companies that figure out the right human-AI balance will outperform competitors that either over-rely on AI or dismiss it entirely. MSPs and IT service firms should be thinking about AI-powered decision-support tools as a service offering,helping businesses implement and manage AI governance frameworks.
