Consulting
Enterprise AI agent governance, safety, and architecture
Deploying AI agents in production requires more than prompt engineering. It requires governance frameworks, safety guarantees, and deterministic execution. I help teams build agent systems that are accountable, auditable, and safe to operate at scale.
What I Offer
Agent Governance Design
Design delegation frameworks, authority models, and accountability primitives for your AI agent systems. Based on Google DeepMind's Intelligent AI Delegation research.
Safety & Compliance Architecture
Circuit breakers, futility monitoring, cost controls, and audit trails. Build agent systems that satisfy compliance requirements without sacrificing autonomy.
Deterministic Runtime Implementation
Hash-chain journals, reproducible execution, and tamper-evident logging. Make your agent systems debuggable, auditable, and provable.
Multi-Agent System Design
P2P delegation meshes, trust propagation, and inter-agent coordination. Architecture for systems where agents delegate to other agents.
Engagement Types
Architecture Review
Deep dive into your existing agent system. Identify governance gaps, safety risks, and determinism opportunities. Delivered as a written report with actionable recommendations.
Implementation Sprint
Embedded engagement to build or refactor agent infrastructure. Typically 2–4 weeks. Hands-on code, architecture decisions, and knowledge transfer.
Advisory Retainer
Ongoing access for architecture guidance, design reviews, and strategic decisions as your agent systems evolve.
Let's talk about your agent infrastructure.
Get in Touch