Comparative Benchmarks: AI Builder Models, Copilot Agents, and Copilot Computer Use

This benchmark compares three Microsoft Power Platform technologies—AI Builder form-processing models, Copilot agents, and Copilot computer use—across insurance claims processing, welfare eligibility verification, and supplier onboarding scenarios. The evaluation reveals distinct performance profiles for each technology: AI Builder excels at high-volume structured document extraction but struggles with variations; Copilot agents offer superior contextual understanding and natural language capabilities but require significant configuration; and Copilot computer use provides unmatched legacy system integration without semantic understanding. The findings demonstrate that organizations achieve optimal results by combining technologies strategically rather than pursuing a single-technology approach. A decision framework guides practitioners in selecting the appropriate technology mix based on document standardization, process complexity, exception handling requirements, and system integration needs.

Authors

Publication Details

Journal
European Journal of Computer Science and Information Technology
Published
2025-05-15
DOI
https://doi.org/10.37745/ejcsit.2013/vol13n395464
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
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article

Comparative Benchmarks: AI Builder Models, Copilot Agents, and Copilot Computer Use

Sarat Piridi
European Journal of Computer Science and Information Technology
Ethics and Social Impacts of AI
article

Comparative Benchmarks: AI Builder Models, Copilot Agents, and Copilot Computer Use

Sarat Piridi
article en

Abstract

This benchmark compares three Microsoft Power Platform technologies—AI Builder form-processing models, Copilot agents, and Copilot computer use—across insurance claims processing, welfare eligibility verification, and supplier onboarding scenarios. The evaluation reveals distinct performance profiles for each technology: AI Builder excels at high-volume structured document extraction but struggles with variations; Copilot agents offer superior contextual understanding and natural language capabilities but require significant configuration; and Copilot computer use provides unmatched legacy system integration without semantic understanding. The findings demonstrate that organizations achieve optimal results by combining technologies strategically rather than pursuing a single-technology approach. A decision framework guides practitioners in selecting the appropriate technology mix based on document standardization, process complexity, exception handling requirements, and system integration needs.

European Journal of Computer Science and Information TechnologyVol. 13(39)
Openalex Percentile: Top 87%
Ethics and Social Impacts of AI
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