90-second recruiter overview

Senior product and transformation leadership for AI, data and cyber.

I turn complex and emerging technology into governed products, operating models and delivery outcomes that people can trust and use.

National-scale technology delivery Security-sensitive environments Live responsible-AI product demonstrator

Open the live demonstrator Read the full case study

0-10 secIdentity 10-25 secProduct 25-40 secLeadership 40-55 secJudgement 55-70 secOutcome 70-82 secRole fit 82-90 secNext step

0-10 seconds

Who I am

Product judgement grounded in large-scale delivery.

I am a senior product and transformation leader with experience delivering national-scale technology services, security-sensitive programmes and complex operating change.

My work sits at the intersection of product strategy, transformation, cyber governance, accountable AI and operational delivery.

10-25 seconds

What I built

Companion Intelligence

Live MVP

Companion Intelligence is a live decision-assurance demonstrator that connects evidence, reasoning, uncertainty and human accountability.

It addresses a common organisational weakness: consequential decisions being approved through fragmented evidence, opaque scoring and incomplete reasoning records.

25-40 seconds

What I personally led

From ambiguous problem to public release.

Product strategyProblem framing, value proposition, scope and thin vertical slice.

GovernanceEvidence, accountability, explainability and human decision boundaries.

ArchitectureInformation model, evidence chain, reasoning chain and failure behaviour.

Experience designExecutive journey, evidence drill-down and natural-language interrogation.

ValidationAcceptance criteria, explainability tests, honest-gap testing and release gates.

DeploymentGitHub repository, automated Vercel pipeline, custom domain and SSL.

AI-native delivery: AI accelerated the research, design and software-development workflow. I retained ownership of the product problem, architecture, decisions, trade-offs and release standard.

40-55 seconds

Product judgement

The decisions behind the product matter more than the feature count.

Complete vertical sliceProved one end-to-end decision journey rather than building a broad but shallow platform.

Evidence before answersSeparated the evidence chain from the reasoning chain so conclusions remain traceable.

Honest gapsRequired the product to refuse invention when evidence or reasoning is missing.

Human accountabilityThe system may recommend an action. The accountable human owns the decision.

55-70 seconds

Tangible outcome

A working demonstrator, not a concept deck or policy paper.

7linked product screens

6 + 1explainability and honest-gap tests passed

Livecustom-domain MVP with SSL

AutomatedGitHub-to-Vercel release pipeline

The demonstrator uses structured synthetic data, deterministic controls and constrained question paths. Its capabilities and product boundaries are stated explicitly.

70-82 seconds

Relevant role pathways

Where this capability fits.

I am not positioning myself as a data scientist or machine-learning engineer. My value is turning AI and data capability into products that are useful, explainable, governable and operationally credible.

82-90 seconds

Choose the next level of evidence

See the product, the decisions or the professional background.

1 Open the live demonstrator Use the product and test its explainability behaviour. 2 Read the full product case study Inspect the problem, architecture, key decisions and boundaries. 3 View Matthew's professional background See how the product capability connects to large-scale delivery experience.