Projects After-Action-Reviewer

Problem
Capital projects often repeat cost overruns due to insufficient learning from past experiences.
- Valuable lessons and best practices are dispersed across various reports and not systematically analyzed.
- Project teams lack a centralized view of historical insights related to cost drivers.
- The absence of structured knowledge sharing leads to repeated mistakes and missed opportunities for improvement.

AI assistant can:
• "Digest" existing post praject reports and AARs and create structured knowledge base.
• Create chatbot assisting project teams to quickly reveal any relevant learnings or cost benchmarks
• Create voice controlled or free text input assistant which may collect any unstructured and dispersed inputs from project team members to form consistent effective post project analysis report and to update the Knowledge base.

Expected result
• Structured and easy to maintain projects knowledge base with easy (context aware) navigation
• Easy voice or text input of new learnings to keep knowledge base evergreen
• Quick retrieval of the relevant learnings for new project directly helping to avoid mistakes and cost overruns.