Aegis Incident Intelligence
An evidence-grounded AI workspace for analysing operational incidents, uploaded documents, hybrid retrieval results and source-cited answers in a controlled human-review workflow.
Problem context
Critical operations teams often work across incident notes, procedures, reports, logs and supporting documents. The challenge is not only finding information, but preserving evidence, context and reviewability while humans remain responsible for decisions.
What Aegis demonstrates
Aegis demonstrates how incidents, uploaded documents, hybrid search, AI-generated summaries, source citations and reviewer status can be connected inside one operational workspace. The current demonstrator uses synthetic data and is designed for controlled walkthroughs, not for sensitive production use.
Key capabilities
Core workflow elements built into the demonstrator to support evidence-grounded incident review.
Incident workspace
Structured view of operational incidents with context preserved for review.
Document upload and ingestion
Supporting materials ingested and indexed for retrieval alongside incident data.
Hybrid retrieval
Lexical, semantic and combined search across incident records and document chunks.
Source-cited answers
AI-generated responses linked back to inspectable source passages.
Human review flow
Reviewer status and human oversight integrated into the operational workflow.
Synthetic critical-operations dataset
Demonstration scenarios based on synthetic infrastructure data for safe walkthroughs.
Inspectable evidence
Sources remain accessible so reviewers can validate AI output against original material.
Audit-oriented workflow
Design emphasis on traceability, reviewability and accountable decision support.
Technical architecture
A prototype stack oriented toward evidence-grounded retrieval and human-in-the-loop review.
Frontend
- React
- Operational workspace UI
- Incident and document views
Backend
- FastAPI
- API layer
- Reviewer workflows
Data layer
- PostgreSQL
- pgvector
- Document chunks
Retrieval
- Lexical search
- Semantic search
- Hybrid retrieval
AI layer
- Grounded responses
- Source citations
- Human review integration
Deployment baseline
- Private VPS-oriented prototype
- No public-sensitive-data claims
- Controlled demonstration use
Responsible positioning
Aegis is not presented as a certified defence system, autonomous decision platform or classified-data environment. The current version is a functional demonstrator using synthetic data. It is intended to support human understanding, review and briefing preparation, not to replace operational judgement.
Suitable next conversations
Areas where evidence-grounded AI and incident review workflows may be relevant to discuss.
Critical infrastructure operations and incident documentation.
Industrial operations, maintenance knowledge and procedure review.
Emergency and incident review workflows with human oversight.
Operational knowledge management and briefing preparation.
Defence-adjacent, non-classified evaluation and integrator partnerships.