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AI Triager: Faster Root Cause Analysis for Test & IT Ops Teams

AI Triager accelerates root cause analysis by automatically parsing logs, extracting context, and surfacing actionable insights—cutting triage time from hours to minutes. Built for QA, DevOps, and IT Ops teams who need speed, scale, and accuracy.

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SERVICE

Solution Based Regression

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Domain

Artificial Intelligence (AI)

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Industry

Networking  

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Location

USA

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Problem Statement 

QA, DevOps, and IT Ops teams were spending hours per defect sifting through logs to identify root causes. Manual triaging was

  • Time-consuming and inconsistent
  • Dependent on expert availability
  • Not scalable across large test suites

  • Lacking centralized context or reuse of past insights
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What We Solved

We built AI Triager, a modular, AI-driven RCA engine that automates the entire failure analysis pipeline:

  • Extracts structured meta data from logs using LLMs
  • Uses hybrid retrieval (graph + vector search) to match symptoms with known defects
  • Streams real-time, explainable RCA summaries, including root cause, fix plan, and references
  • Classifies logs in batch (pass/fail/abort) and generates automated reports
  • Integrates into CI/CD, bug tracking, and custom dashboards via APIs
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Outcome & Results

AI Triager accelerates root cause analysis by automatically parsing logs, extracting context, and surfacing actionable insights—cutting triage time from hours to minutes. Built for QA, DevOps, and IT Ops teams who need speed, scale, and accuracy.

  • 80% reduction in triage time
  • 60%+ developer time saved on debugging
  • Increased consistency and accuracy of root cause reports
  • Improved visibility into test quality and flaky failures
  • Enabled RCA at scale with real-time analysis of large logs
  • Enhanced collaboration with traceable, linked RCA outputs
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Conclusion: What We Achieved

Through AI Triager, we transformed manual, error-prone debugging into a fast, explainable, and scalable process.

By embedding intelligence into each step—from ingestion to resolution—we empowered QA and DevOps teams to:

  • Move from reactive to proactive debugging

  • Speed up release cycles by resolving issues faster

  • Build a continuously learning system that improves with feedback

  • Reduce burnout from repetitive triage work

Our 16 years of achievements includes:

  • 10M+

    lines of codes

  • 2400+

    projects completed

  • 900+

    satisfied clients

  • 16+

    countries served

Consult with us Now