Independent AI Consultant  ·  Steering Committee, CAGI  ·  Oxford, UK

From the algorithm
to the boardroom.

12 years of advanced AI R&D for the Ministry of Defence and FTSE 100 - from foundational research to modern LLM and agentic AI deployment. Oxford-based, internationally available.

Jason Lee - Independent AI Consultant
Jason Lee
Independent AI Consultant
Steering Committee, CAGI · Oxford, UK
12+ Years AI R&D
30× Bias Reduction
£500k+ Funding Raised
2,000+ Global Network
4× Buckingham Palace
Jason Lee
Education
MEng Electronic Systems Engineering
1st Class Hons · Aston University
Location
Oxford, UK
International · Hybrid / Remote
Engagement
IR35 Compliant
Currently Available
Sole Trader or Umbrella Company
MOD Supply Chain
Hands-on experience with JOSCAR & Constellia NVFi - able to support organisations seeking MOD approval

The problem solver
behind the algorithm.

I'm Jason Lee - Oxford-based Independent AI Consultant with 12 years building advanced AI systems for MOD, DSTL, and FTSE 100 organisations. I work at the algorithmic level: designing, leading, and delivering AI research that produces measurable outcomes.

I founded illumr Ltd in 2013, building it into a defence-accredited AI firm with international teams across the UK, France, Italy, and Bulgaria. In 2025 I transitioned to independent consulting, bringing a rare depth of experience directly to clients who need genuine AI expertise - not a resold off-the-shelf tool.

I sit at the intersection of deep AI research and strategic leadership. I work alongside brilliant researchers - often at PhD and post-doctoral level - directing advanced AI programmes, mentoring specialist teams, and translating what they deliver into clear value for boards and leadership. I understand the modern AI landscape well enough - LLMs, agentic systems, production deployment - to lead the people who build it and articulate its implications to those who fund it.

I now sit on the Steering Committee of the Cybersecurity & AI Governance Initiative (CAGI), helping close the governance gap between AI adoption and responsible deployment in critical infrastructure.

Reinforcement Learning Generative Adversarial Networks Topological Data Analysis LLMs & Generative AI Agentic AI Architecture AI Ethics & Governance AI Strategy Defence & Security AI Cybersecurity Behavioural Analytics

What I deliver.

01

AI Research & Development

From literature review to proof-of-concept - at the algorithmic level. I design and lead advanced AI programmes across the full stack, from foundational research to production deployment.

  • Reinforcement Learning, GANs, TDA, Bayesian Networks
  • Agentic AI design & API orchestration
  • Production deployment (Docker, CI/CD, AWS etc)
  • International data science team management
  • TRL 1–4 proof-of-concept delivery & bid writing
02

AI Strategy & Governance

Board-level AI strategy grounded in operational reality - not aspiration. Decision-ready roadmaps, governance frameworks, and ethics-led adoption planning that leadership can act on immediately.

  • Board-level AI strategy reports & roadmaps
  • AI governance frameworks & guardrails
  • Ethics, explainability & regulatory compliance
  • Agentic AI risk assessment & oversight frameworks
  • Workforce change & adoption support
03

Defence & Security AI

Extensive track record within MOD frameworks including SERAPIS, DSTL, ARCD and DASA - with Research Worker Form clearance per project. Results presented at the MOD's AIFest event.

  • Cybersecurity RL Agent development
  • Counter-terrorism TDA analytics
  • SERAPIS / DASA bid writing & delivery
  • AI cybersecurity standards (ETSI EN 304 223 etc)
  • Defence supply chain & procurement support
04

Thought Leadership & Speaking

AI insight that cuts through the noise. Speaker at Buckingham Palace and the Milken Institute Global Conference, with international media coverage and published governance writing via CAGI.

  • Keynote & panel speaking
  • AI & emerging tech media commentary
  • Expert contributions to government & industry events
  • Published thought leadership
  • Startup mentorship & advisory

Results that speak
for themselves.

AI Strategy
BSAC · 2025

Board-Level AI Strategy for BSAC

Delivered a board-level AI strategy for the British Society for Antimicrobial Chemotherapy - mapping practical AI opportunities across accreditation, education, publications, and membership for a globally-distributed organisation. Decision-ready roadmap, governance framework, and board/staff communication pack.

AI StrategyAI GovernanceBoard Advisory
AI Product
illumr / Accenture FinTech Lab · 2020–2025

Rosa - AI Debiasing Product

Built a Fair Adversarial Network using GANs to eliminate bias from AI training data at source - not patching after the fact. 30× lower bias effect size in criminal recidivism forecasting models. Dockerised prototype deployable on private cloud. Selected for Accenture FinTech Innovation Lab London (1 of 5 in Data Stream).

GANsAI EthicsDebiasingDockerCI/CDFinTech
AI Product
illumr · Multiple clients · 2013–2025

Columbus - Topological Data Analysis Engine

Proprietary TDA engine uncovering hidden patterns missed by all other methodologies. PoCs with Pfizer, easyJet, Rolls Royce, Williams F1, Unilever, Banco Sabadell, HouseMark, Kier and more. Identified safeguarding clusters 10–50× more likely at risk for Metropolitan Housing. DASA-funded demonstrator for Defence & Security.

TDABehavioural AnalyticsCounter-TerrorismAnti-Money LaunderingEnterprise AIDASA

Keeping the hands dirty.

Strategy and governance work is most credible when grounded in live technical practice. AGTL is my personal R&D testbed — a portable intelligent guitar rack that puts modern embedded processors, edge AI, and agentic development into a single real-world build.

AGTL — Agentic Guitar Lab

A rack-mounted DSP and AI platform built around an Electro-Smith Daisy Seed (ARM Cortex-M7 embedded DSP), an NVIDIA Jetson Orin NX (edge AI inference), and a multi-agent Claude-powered development workflow. Real-time audio effects run on the Daisy in C++; the Jetson hosts Python AI services for tone matching, LLM-driven parameter control, and speech-to-text interaction. The entire development process is agentic — built with Claude as an active collaborator using a custom multi-agent architecture.

Demonstrates embedded firmware development, edge AI deployment, LLM integration, agentic development methodology, and hardware/software co-design — all in a single active project.
Embedded & Hardware
ARM Cortex-M7 DSP Embedded C++ NVIDIA Jetson Orin NX Real-Time Audio Hardware Co-design
AI & Software
Edge AI Inference LLM Integration Agentic Development Multi-Agent Architecture Python Services Speech-to-Text

Where I've been heard.

Buckingham Palace
Invited 4×, Speaker, met The late Queen twice
House of Lords
Panelist with Lord Bilimoria
Milken Institute
Global Conference Panelist, USA
Accenture FinTech Lab
1 of 5 startups in the Data Stream
Founders Factory
1 of first 2 AI startups on the AI Programme
MOD AIFest 2023
Presented ARCD results to MOD
CGTN International TV
Broadcast in Washington & Beijing
DigitalK, Bulgaria
Speaker & Pitch Competition Winner
UK Embassy Trade Missions
Washington & São Paulo
Hays Endorsed
"Rare depth in an AI market full of noise"
CAGI Steering Committee
AI & Cybersecurity Governance, 2026
Ethical AI Governance Group
Panelist - AI fairness & debiasing

Latest writing.

AI Has a Cybersecurity Problem.
ETSI EN 304 223 Might be the Fix.

Traditional cybersecurity frameworks were built for predictable systems. AI isn't predictable. Prompt injection, data poisoning, model inversion, agentic autonomy gone wrong - these require a fundamentally different approach. EN 304 223 is one of the first standards that has genuinely caught up.

AI failures are rarely model failures.
They are system failures.

Most discussions about AI risk start with the model - jailbreaks, hallucinations, poisoned training data. But some of the most serious failures begin much further upstream, compounding across data pipelines, deployment teams, governance structures and feedback loops before anyone notices. The missing discipline isn't model ownership or data ownership. It's system ownership - someone accountable for seeing the whole thing.

The UN's AI Governance Moment.
Why the World Needs a Global Floor.

AI governance is entering its global phase - but fragmented, incompatible regulatory regimes create risk multipliers, not protection. From the EU AI Act to ETSI EN 304 223 to the UN Global Dialogue on AI, the argument is clear: the greatest risk isn't powerful AI. It's powerful AI deployed into weak, fragmented governance systems.

Let's work together.

Available for contract engagements and select senior roles. If you're working on something serious in AI - defence, enterprise, governance, research, or agentic systems - let's talk.