Melbourne, Australia

Nathan Bhasker.
From AI experiments to governed systems.

I help enterprises move from AI agentic experiments to governed, production-scalable systems. Builder first: agent systems with published evaluation results, clinical AI with deterministic safety gates, and the governance frameworks that let boards say yes with confidence.

MBAPMPPRINCE2IBM AI Product ManagementAIGP
What I do

Three practices, one thesis: evidence over promises

AI Governance

Risk assessments, evals, and board-ready assurance for regulated sectors — aged care, healthcare, NDIS. Run through GVRN-AI.

AI Automation

Voice agents, workflow automation, RAG systems — every build ships with published evaluation results. Run through GVRN-AI Automation.

Agentic Engineering

Orchestration across the whole stack: cloud data, AI components, agent coordination, approval gates, and the business layer that owns the decisions.

Proof

Built and evaluated, not demoed

Clinical safety gates

Healthcare agent with a deterministic emergency-escalation gate wired ahead of the model — 610 passing tests, because "usually right" isn't a clinical standard.

Judge calibration

LLM-judge evaluation pipelines calibrated against human-labelled golden datasets — F1 receipts, not vibes.

17 shipped projects

Agents, RAG, evals, dashboards — selected work on the portfolio.

Talk to me

Ask my voice agent anything

Talk to my AI assistant — live now, grounded in my actual work. My own cloned voice is coming; today it speaks with an interim voice. Zero conversation retention either way.

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