Melbourne, Australia
Founder of YSEEKU, building cryptographic trust infrastructure for AI decisions. Two decades in regulated operations, now focused on making AI behaviour provable.
Focus
AI trust infrastructure
Mode
Founder, operator, builder
Facilitator, storyteller
Domain
Compliance, CX, fintech operations
Current work
Enterprise AI has a proof problem. Models do not hallucinate in isolation; they do it at scale, inside systems that touch customers, approve loans, write compliance letters, and influence hiring decisions.
SONATE creates signed, hash-chained Trust Receipts for AI interactions. The goal is simple: independent, verifiable evidence of what happened, when it happened, and whether the system followed the rules.
AI governance
Cryptographically signed Trust Receipts for AI systems: runtime evidence collection, deterministic policy evaluation, and verifiable enforcement for enterprise AI.
Research archive
625 conversations across seven AI platforms exploring emergence, consciousness, and the nature of human-AI collaboration.
Protocol layer
The governance, ethics, and protocol specification lane where philosophical inquiry meets formal AI collaboration frameworks.
Background
Twenty years in operations where mistakes cost money, trust, and sometimes licences: contact centres, collections floors, offshore training, fintech credit assessment, fraud monitoring, and customer remediation.
2024 — Present
YSEEKU, Melbourne
Building SONATE: cryptographic trust infrastructure for AI. Research began in 2024; YSEEKU was founded in 2025. Solo founder, AI-assisted development, product architecture, investor relations, and market education.
2021 — 2024
Banxa, Melbourne
Led a 100+ seat global CX team across Melbourne, the Philippines, and Lithuania, covering onboarding, fraud, payments, and complaints across regulated markets.
2019 — 2021
Payright, Melbourne
Built collections operations from zero across customer service, credit, AFCA liaison, fraud monitoring, quality assurance, and hardship processes.
2014 — 2018
Bank First, Melbourne
Led contact centre teams, designed sales methodology, and managed knowledge systems. Inspiring Leader of the Year 2018.
2005 — 2009
Singtel Optus, Melbourne and Mumbai
Seconded to India to train 70+ sales representatives. Youngest person selected for an overseas secondment in the company history.
Writing
Short essays on the gap between AI governance and AI proof, and what it takes to close it.
June 2026
Read articleWhen questions arise about model behaviour, safety, compliance or accountability, customers, regulators and the public are often dependent on evidence controlled by the model provider itself.
June 2026
Read articleMost AI systems today rely on provider-controlled logs and post-hoc explanations — mechanisms that depend on trusting the organisation that generated them. This piece sets out the technical properties verifiable AI evidence requires, and a minimal receipt-based architecture that satisfies them.
June 2026
Read articleWhen an AI makes a decision that affects your business or your customers, you currently have no way to prove what actually happened. This brief explains the AI Evidence Gap, the flight recorder analogy, and the questions executives and regulators should be asking.
June 2026
Read articleA trust receipt is a small JSON document — typically 1–5 KB, depending on schema version, telemetry, and content mode — that records a single AI interaction. This article is the field guide for the moment when someone hands you one and asks what it says.
Visual explorations
AI-generated and AI-collaborative art exploring consciousness, emergence, surveillance, and the boundary between human and machine intelligence.
Facilitating
Building the technology is only half the work. The other half is making it land — translating complex, technical and regulated material for the people who actually have to use it. Qualified facilitator (TAE40110), from contact‑centre floors to executive rooms, in person and on camera.
