Strategy for Applied AI where the wrong outcome is expensive.
I work with leadership teams and entrepreneurs making the decisions that determine whether a digital transformation initiative is worth pursuing, safe to deploy, and how it should be governed.
Best
Paper
2025
From Digital strategy to governed, deployable systems.
Most software projects fail because of inadequate requirements, flawed design, or insufficient testing — not because the technology itself was wrong. My work runs in three phases — and the phases are inseparable.
Strategy
The decisions made before any code is written. What is worth building, what is actually required, what evaluation looks like, what the risk profile actually is.
- Requirements definition
- UI / UX design and review
- Evaluation framework design
- Risk & governance assessment
Productization
The discipline of turning research and prototypes into systems that survive contact with real users — taught and applied.
- Embedded productization advisory
- Executive education programs
- Founder cohorts & curricula
- Productization sprints
Governance
For domains where the cost of being wrong is high, technical and policy questions are inseparable. I work on both.
- AI policy advisory
- Platform governance frameworks
- Risk & Safety Management
- Data Integrity & Auditability
Beyond epistemic conformity: a structural rethinking of online content evaluation.
My doctoral research calls for a paradigm shift in how online misinformation is thought about and verified, arguing that current fact-checking and misinformation detection systems miss harmful content because of how the problem is framed and a structural misspecification of how the systems are designed.
The work formalizes two constructs — Narrative Blindness and the Risk Irrelevance Principle — that explain the misspecification, and demonstrates computationally that a risk-aware alternative is achievable. It also provides a formal definition for Online Health Safety.
This research earned the IEEE ICDH Best Student Paper Award in 2025. The findings have direct implications for platform governance, digital public health, AI content policy, and equitable AI deployment.
Dissertation From Misinformation Detection to Online Health Safety: Narrative Blindness, Risk Irrelevance, and the Limits of Epistemic Conformity
Read the Research →Empowering businesses and bridging the digital divide.
Keynotes, panels, and convenings on applied AI, productization, tech entrepreneurship, trustworthy AI and the policy questions emerging around evaluation and governance.
Topics: Applied AI strategy in high-stakes domains · Deepfake Detection and Trustworthy AI · Productization for founders · AI policy for emerging markets · Tech Entrepreneurship and Startup Coaching · Online Health Information and Misinformation.
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Notes on AI, productization, and the questions worth asking.
The wrong question, asked at scale: why misinformation detection misses what matters.
A practitioner's account of why current AI evaluation frameworks fail in high-stakes domains, and what a narrative-aware alternative looks like in practice.
Read the EssayProductization is where AI projects either succeed or quietly stall.
On the architectural and evaluation decisions that determine whether a system survives contact with real users — and the discipline of teaching this to founders.
Read the NoteLearn about AI and Careers in Software Development
A talk on what AI means for the software industry, what careers in software development look like today, and how to position yourself in a rapidly changing field.
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A strategist who can still architect the system.
Two decades of software development, advisory, and training brought me here today. My career spans the full lifecycle of software operations. I transitioned from supporting application users to looking after e-trading mortgage lending platforms, managing the development of capital markets applications — including AML risk-rating and regulatory compliance infrastructure — and managing the implementation of bank lending and treasury systems before going solo.
As the founder of iBez, I have taken products from concept to deployment for clients across government, healthcare, education, and financial services. I also built Handy-Jacks, a platform of verified tradespeople and trained professionals on software development and digital skills.
Digital and AI strategy disconnected from operating reality is the failure mode I work hardest to avoid. The technical methods matter less than the operations they automate, the pain points they fix, and whether a system is ultimately safe and useful for the people it serves.
For organizations putting AI into the real world.
Open to applied Digital/AI strategy and advisory engagements, AI policy and governance work, executive and founder education in productization, startup mentoring/judging and speaking invitations.
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