AI Value Attribution in Multi-System Workflows: Untangling ROI When AI is One of Many Tools

August 10, 2026Open Access

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Key Points

This research aims to clarify how AI contributes to value in systems using multiple tools and methodologies to assess ROI.
Analyzed multi-system workflows incorporating AI tools.
Developed performance metrics to evaluate AI's effectiveness among other tools.
Used case studies to illustrate varied approaches to ROI attribution.
Identified key factors influencing ROI assessments when AI is involved.
Demonstrated that traditional ROI calculations often underestimate AI's true value.
Highlighted the necessity of tailored metrics for assessing AI contributions.

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Research article demonstrates the complexity of measuring ROI in workflows that use multiple tools, including AI.

Research article: AI Value Attribution in Multi-System Workflows: Untangling ROI When AI is One of Many Tools

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Ивченко et al. (2026) studied this question.

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