Agentic AI Systems

Design and deploy agent swarms with safety rails: supervisor-worker patterns, tool-calling, and deterministic fallbacks. Each graph includes tracing, evals, and governance checks so promotion decisions are based on reproducible evidence.

• Supervisor-worker agents with guardrails and human-in-the-loop overrides
• Observable, testable agent graphs (LangGraph) with evals and benchmarks
• Cost/latency optimization via batching, streaming, and caching
• Risk controls: auth, PII handling, circuit breakers, and escalation paths

Expected outcomes

• Reduce manual review with bounded research and summarization workflows
• Shorten decision time while preserving citations and human approval
• Improve reliability with continuous evaluation and rollback patterns

Reference stack