Abstract
AI is no longer just something organizations adopt, it is something they must design. As firms assemble models, data, and workflows into interconnected systems, the challenge shifts from using AI tools to composing intelligence. This panel introduces the concept of the AI Architect, a role focused on integrating AI capabilities into coherent, scalable solutions that support organizational objectives. Panelists will examine how these systems are structured, how they reshape decision-making and work processes, and why they represent a new phase of digital transformation. The discussion also addresses the risks of this shift, including security vulnerabilities, misuse, and governance challenges that emerge in highly integrated environments. By bringing together perspectives from research and practice, the panel highlights emerging directions for Information Systems scholarship in understanding and managing AI-enabled organizations.
Paper Number
tpp1335
Recommended Citation
French, Aaron M., "The New AI Architect: Composing Intelligence Through AI Technology Stacks" (2026). AMCIS 2026 Proceedings. 4.
https://aisel.aisnet.org/amcis2026/panels/panels/4
The New AI Architect: Composing Intelligence Through AI Technology Stacks
AI is no longer just something organizations adopt, it is something they must design. As firms assemble models, data, and workflows into interconnected systems, the challenge shifts from using AI tools to composing intelligence. This panel introduces the concept of the AI Architect, a role focused on integrating AI capabilities into coherent, scalable solutions that support organizational objectives. Panelists will examine how these systems are structured, how they reshape decision-making and work processes, and why they represent a new phase of digital transformation. The discussion also addresses the risks of this shift, including security vulnerabilities, misuse, and governance challenges that emerge in highly integrated environments. By bringing together perspectives from research and practice, the panel highlights emerging directions for Information Systems scholarship in understanding and managing AI-enabled organizations.
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