AI Trust & Assurance · Regulated Industries · Senior Judgment

85% of enterprises are piloting AI agents.
Only 5% trust them enough to put into production.

The gap isn’t technology. It’s the absence of an accountable, independent opinion on whether a deployment is fit to sail.

I assess AI deployments in regulated industries and deliver a senior, independent judgment on material risk. Not a management-system certificate. Not a checklist. A reasonable commercial standard: does this deployment, in this context, actually work safely enough for the job?

PhD · Ethics AIGP · IAPP GSEC · GIAC 15 years · Law & Regulated Industries Microsoft AI Champions

When convincing assurance is nearly free to fake, the scarce thing is someone accountable who stands on the call.

Every vendor now bolts AI onto its product. Every buyer runs a 4–12 week committee review on every single tool. The deal stalls. Often it just dies. The market doesn’t need more paper. It needs a trusted, independent opinion.

The deployment, not the model

A general model is neither safe nor unsafe. Risk lives in an organisation, its purpose, its environment. One-and-done certification of an org is the wrong shape. Continuous assessment of the deployment in context is the right one.

Judgment, not theatre

AI generates compliance paper for free. ISO 42001 certifies a management system, it is silent on whether this deployment’s key risks are handled. The scarce thing is an expert opinion on material risk against a sensible commercial bar.

Trust is earned on the buyer side

A trust mark’s value is created by the buyers who rely on it, not the vendors who pay for it. Demand-side mandate first. That is how classification societies began.

The question isn’t whether your AI is compliant. It’s whether a competent, independent person has looked at this deployment, in this context, and is willing to stand on the call.

Both sides of the table.

I’ve been the product counsel building AI in regulated healthcare, and the committee member assessing whether someone else’s AI is safe to deploy. That combination is the edge.

Sergey Kinchin
Sergey Kinchin, PhD · Dublin

My career started in maritime crisis law in Far North Queensland: shipowner liability, P&I Club negotiations, a bulk carrier drifting toward the Great Barrier Reef. When the stakes are a coral reef, a tanker, or a human life, you learn that governance is how the system works under pressure, not what the manual says.

That instinct carried through every role since: building legal functions from zero at a fintech startup during international expansion, restructuring operations as Head of Legal and Company Secretary for a marine services group, and partnering with AI, Innovation, and Technology teams as AI product counsel at a global pharma services company on NASDAQ.

Five years assessing third-party AI on enterprise committees. Guiding six award-winning AI products built in regulated healthcare. A seat on the Microsoft national large-enterprise AI Champions Steering Committee. A PhD on the ethics of negotiations. A SANS GIAC cybersecurity credential. And an Ireland base that is English-speaking, common-law, EU, and dense with pharma, medtech and tech multinationals.

The pattern: I stepped in when things were unstructured, and left them with systems that ran without me. Now I work at the intersection of AI trust, risk judgment, and regulated deployment, where the question is not “is this compliant?” but “is this actually safe to sail?”

Both Sides
AI product counsel + enterprise AI committee assessor
Builder and buyer: the combination almost no one else has
Working Style
“Problems are dealt with without fuss and with pragmatism.”
360° feedback · Global Pharma Services
Languages
English (IELTS 9.0) · Russian (Native) · French (DALF C1) · Greek
Accredited Russian Translator
Recognition
Medal for Best Honours Dissertation · Kirby Cup
Australian Law Reform Commission

From the people I’ve worked with.

What impressed me the most was Sergey’s emotional intelligence and empathy. He is a sensitive listener. People approach him with issues and he is very much prepared to provide help and support and lead.
Chairman of the BoardMarine Services Group
Sergey has operated effectively in ambiguous and rapidly evolving situations in the international expansion of our technology platform. He demonstrated outstanding drive, project management and communication skills to successfully lead cross-sectional teams.
CFO & Line ManagerFintech Startup
He understood the big picture and the industry we operate in. He also showed a keen understanding of key commercial drivers and risks of the business.
Chairman of the BoardMarine Services Group
I don’t have anything to offer for what you could work on. You’ve been an incredible help to me.
VP, Information TechnologyGlobal Pharma Services

What I work on.

Senior judgment on AI risk in regulated industries. Working assessments that answer the question a self-declaration cannot.

01
AI Deployment Assurance
Independent assessment of whether a specific AI deployment, in this organisation, for this purpose, under these constraints, is fit for the job. Security, data handling, lawfulness, and output quality. Material risk, not paperwork.
02
Regulated Healthcare & Pharma
Where board-level liability is real and the forcing mechanisms already exist. Medical-device AI, clinical operations, pharmacovigilance. The beachhead where assurance has to be more than a sticker.
03
AI Trust Architecture
Designing the structures that make AI deployments inspectable and trustworthy: not just to regulators, but to the buyers, insurers, and boards who carry the actual risk.
04
Speaking & Teaching
Keynotes, panels, and workshops on AI trust, assurance, and the practical ethics of deployment. Sessional Teaching Award recipient. I speak on what I practice, not the hype.
The EU AI Act is not coming. It’s here.
Article 4 (AI literacy) is already enforceable. Most high-risk uses self-assess, which means deployers self-declare, and the people relying on them have no independent opinion to trust. That gap is the market.
Live Now
AI Literacy (Art. 4)
Aug 2026
Irish AI Office
Dec 2026
Product Liability
2027
Full enforcement

The Contract Kitchen

I open-sourced my prompt library because the recipes should be free. Structured prompts that triage, stress-test, and operationalise any document — contracts, policies, proposals.

22 recipes. 5 sequences. 4 stages. Works on Claude, ChatGPT, Copilot, or Gemini.

Visit the Kitchen →
// The Red Flag Finder — 60 seconds Input: Your template + their markup Output: Traffic-light risk table 🔴 Clause 8.3 — No liability cap 🔴 Clause 12.1 — 3-year auto-renewal 🟡 Clause 5.7 — IP assignment too broad 🟢 Clause 3.2 — Payment terms acceptable // Each row: ELI5 explanation // + surgical fix ready to paste

Academic & professional foundations.

Doctor of Philosophy
Governance & Ethics
University of Western Australia
LLB (Hons)
Medal for Best Honours Dissertation
James Cook University
AIGP
AI Governance Professional
IAPP
GSEC
Security Essentials
SANS / GIAC
🇮🇪Ireland
🇦🇺Australia

Start a conversation.

Whether it’s an AI deployment that needs an independent opinion, a speaking engagement, or a conversation about what’s coming in AI trust and regulation — I’m reachable. I listen before I build. Every conversation starts with understanding what the actual problem is.

Direct contact