Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents

Yao Fehlis
5/23/2025
cs.MAcs.AI

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Abstract

Scientific laboratories, particularly those in pharmaceutical and biotechnology companies, encounter significant challenges in optimizing workflows due to the complexity and volume of tasks such as compound screening and assay execution. We introduce Cycle Time Reduction Agents (CTRA), a LangGraph-based agentic workflow designed to automate the analysis of lab operational metrics. CTRA comprises three main components: the Question Creation Agent for initiating analysis, Operational Metrics Agents for data extraction and validation, and Insights Agents for reporting and visualization, identifying bottlenecks in lab processes. This paper details CTRA's architecture, evaluates its performance on a lab dataset, and discusses its potential to accelerate pharmaceutical and biotechnological development. CTRA offers a scalable framework for reducing cycle times in scientific labs.

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Cite this paper

@article{fehlis2025uncovering,
  title  = {Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents},
  author = {Yao Fehlis},
  year   = {2025},
  eprint = {2505.21534},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2505.21534v1}
}

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