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challenge4

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Ghost Busters (Team 4A) built an automated Lessons Learned Library that extracts recommendations and insights from MOD Gateway Review documents and turns them into a structured, searchable knowledge base. Their solution combines document ingestion, AI‑driven extraction and categorisation, and Power BI reporting to ensure past lessons actively...

  • Updated Apr 10, 2026

Lessons Library Builder (Team 4B) created an automated pipeline to extract, classify, and structure lessons from MOD Gateway Review documents into a reusable Lessons Library. Their solution processes PDFs at scale, derives explicit lessons and themes, adds sentiment and confidence signals, and outputs a structured dataset suitable for search and...

  • Updated Apr 10, 2026

Lessons SME Advisor (Team 4D) focused on turning an existing Lessons Library into targeted, role‑aware intelligence through a Lessons SME Agent. Their work centres on retrieval‑augmented generation to surface the most relevant past lessons and recommended actions for different personas, project phases, and assurance moments.

  • Updated Apr 10, 2026

Lessons Power BI Integrator (Team 4E) focused on structuring lessons from MOD Gateway Reviews into a clean, reusable dataset and integrating it with Power BI for analysis and reuse. Their work standardised lesson fields, priorities, and categories, enabling consistent ingestion, reporting, and filtering across programmes and assurance stages.

  • Updated Apr 10, 2026

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