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Epic
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Resolution: Done
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Undefined
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None
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None
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None
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Workflow insights tool
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False
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False
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In Progress
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0% To Do, 0% In Progress, 100% Done
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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
- account is impacted by
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AIPCC-8477 🟢KR4-2: Each AIPCC function has implemented at least one AI-first workflow/process that significantly improves their efficiency and/or quality.
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- In Progress
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- is incorporated by
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AIPCC-8337 Gather RHoAI Additional Information
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- Closed
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AIPCC-8544 Test And Fine Tune Insights Agent With Different Contexts
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- Closed
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AIPCC-8545 Define Serving And Storage For The Tool
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- Closed
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AIPCC-8546 Design And Implement Web Ui
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- Closed
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AIPCC-8548 Design And Implement Cross Pattern Usage Insights
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- Closed
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AIPCC-8300 Jira Extractor
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- Closed
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AIPCC-8301 Document Analyzer
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- Closed
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AIPCC-8302 Create AI Insight for workflows
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- Closed
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