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  1. AI Platform Core Components
  2. AIPCC-8298

Plan and Implement Customer Usage Patterns Insights Tool

    • Workflow insights tool
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    • AIPCC-8046Automate Turkish Airlines RHOAI Workflows
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    • Workflow Validation Sprint 22

      Summary:

      CLI tool to extract Jira issue hierarchies, sanitize PII, and generate AI-powered workflow insights for QE test planning.

        Problem

        Customer workflow data is scattered across Jira issues with no unified view. Manual analysis is time-consuming and insights become stale.

        Solution

        Automated extraction and AI analysis that produces QE-actionable output with repro steps, prerequisites, and expected artifacts.

        Key Features

        - Jira Extraction - Hierarchical traversal with blocker chain following
        - PII Sanitization - Presidio-based redaction before AI analysis
        - AI Analysis - Gemini-powered insights with multimodal support (images/PDFs)
        - Customer Portfolio - Track multiple customers with incremental sync
        - Workflow Library - Deduplicated catalog with relationship linking

        Commands

        analyze --issue KEY    # Extract + analyze single issue
        add-customer           # Onboard customer portfolio
        sync                   # Weekly incremental update
        library list           # View discovered workflows

        Output

        - insight.json / insight.md - QE-aligned workflow insights
        - data/library/ - Global workflow catalog with test-ready markdown

        Tech Stack

        Python 3.11+ | Click | Pydantic | Google Gemini | Microsoft Presidio

              dcohnlif David Cohn Lifshitz
              dcohnlif David Cohn Lifshitz
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