What I Advise On
Production AI, agent governance, and observability — the layer between AI ambition and audited deployment.
Production AI Agents
Agent architecture
Bounded workflows with human escalation and action limits
RAG & knowledge systems
Source-verified retrieval for regulated environments
Thin-slice deployment
Real traffic by week 6, not sandbox POCs
AI Observability & Safety
LLM tracing & evals
Logs, traces, cost telemetry, and regression gates
Agent governance
Registry, threat models, and audit-ready controls
Drift & incident response
Continuous monitoring after go-live
Enterprise Advisory
Enterprise-grade trust
Board, audit, and regulatory fluency
Operating model design
Agentic AI workflows across the enterprise
Build vs. buy
Honest architecture for mid-market and enterprise
Industries
Utilities
Grid ops, customer service, field workforce AI
Financial services
Regulated agents, model risk, compliance RAG
Retail
Operational AI at speed — inventory, docs, service
These are the capabilities I bring personally — and deploy at scale through Synerim.