Secure RAG
Retrieval patterns for governed institutional knowledge, access-aware context, and auditable response grounding.
Technical architect lab
Chad Netwig Labs is a personal technical proving ground for enterprise AI workflow architecture, responsible automation, and implementation patterns that connect real systems to measurable operational outcomes.
Sources
Docs / Data / Apps
Identity
Access context
Workflow Core
RAG + Agent Router
classify, retrieve, route, review, observe
Outputs
Insights / Actions
Review
Human checkpoints
First featured lab
A focused architecture exhibit for secure RAG, agentic routing, BI insight surfacing, governance controls, and LLMOps monitoring in institutional operations.
Architecture
AI workflow integration
Focus
Institutional operations
Status
Prototype lab
Practices
Governance, automation, LLMOps
Retrieval patterns for governed institutional knowledge, access-aware context, and auditable response grounding.
Task classification, routing logic, escalation paths, and human checkpoints for operational AI workflows.
Decision-support interfaces that connect structured reporting, narrative summaries, and actionable signals.
Policy-aware design for permissions, review states, sensitive data handling, and responsible AI adoption.
Evaluation traces, quality signals, latency awareness, and feedback loops for prototype AI systems.
Cloud, application, data, and security boundaries modeled as practical implementation patterns.
Lab roadmap