Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{199496,
        author = {Rohan Rajendra Girase},
        title = {Cognitive Load in AI-Augmented SaaS Dashboards},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {14264-14271},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=199496},
        abstract = {The integration of artificial intelligence into enterprise Software-as-a-Service (SaaS) dashboards has transformed how business users interact with data. While AI-augmented dashboards promise efficiency and deeper insight, they simultaneously introduce a layer of cognitive complexity that existing design literature has not adequately addressed. This paper investigates how AI-generated information density contributes to cognitive load and decision fatigue in enterprise SaaS dashboard environments, and identifies interface design patterns that can reduce this burden. Drawing on secondary research that synthesises peer-reviewed literature from cognitive psychology, human-computer interaction, and enterprise UX design, this study maps how excessive AI-generated content overloads users’ working memory and degrades decision quality. The paper proposes four evidence-based design patterns consolidated into the PACE Framework: Progressive AI Disclosure, Adaptive Information Hierarchy, Contextual Priority Surfacing, and Embedded Cognitive Rest. The findings indicate that cognitive overload in AI-augmented dashboards is not merely a function of data volume but is critically shaped by how AI-generated content is presented, prioritised, and paced. This paper contributes an actionable, theoretically grounded framework for UX practitioners and product designers working on enterprise SaaS products.},
        keywords = {cognitive load, AI-augmented interfaces, SaaS dashboard design, decision fatigue, information overload, enterprise UX, design patterns, human-computer interaction.},
        month = {April},
        }