AI / LLM Operations
AI Ops dashboard
Operationalize AI, LLM, and RAG workloads with visibility, controls, and traceability.
Axion Federal helps teams move from disconnected experiments to governed AI operations by instrumenting prompts, traces, vector retrieval, workflow orchestration, and runtime outcomes across the stack.
How Axion Federal helps
AI Ops in practical terms
Axion Federal helps teams move from disconnected experiments to governed AI operations by instrumenting prompts, traces, vector retrieval, workflow orchestration, and runtime outcomes across the stack.
- RAG pipelines with secure data sources and retrieval patterns
- DAG-style orchestration for prompts, tools, and downstream actions
- Tracing, latency, token, and error observability
- Promotion controls, evidence, and runtime monitoring
Operational picture
What customers actually get
Prompt tracesToken and latency monitoringRAG and DAG governance
- AI services become measurable and supportable
- Prompt and model behavior can be investigated
- LLM workloads align to security and operations expectations
RAG + DAG perspective
From retrieval to action flow
Axion Federal can shape AI Ops around a governed architecture: secure retrieval over approved data, orchestration across tools and tasks, and trace visibility for latency, errors, and token consumption.
Secure Data Sources
RAG Retrieval
DAG Orchestration
LLM + Tools
Trace & Review
