Delivery-tested governance
Frameworks built from running transformation programmes, not just auditing them — model inventories, decision rights, escalation paths, and evidence trails that survive contact with delivery.
Technology operator turned independent AI advisor · United Kingdom
Trust. Value. Inclusivity.
Twenty-three years delivering enterprise technology change — as a Director in Big 4 consulting and inside Microsoft — now advising boards, leadership teams, and founders building AI that has to earn all three.
“Organisations are looking beyond capability and seeking trust and demonstrable value from AI systems.”
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Proposition
A practice built by someone who has run the programme, not just reviewed it.
Digital transformation changed how organisations operate. AI transformation changes how they decide. The perspective comes from having led that change from inside large organisations — accountable for delivery, budget, and teams — before turning that operating discipline into independent advisory. The work is helping enterprises, startups, and their leadership teams turn strategy into governance, governance into operating rhythm, and operating rhythm into evidence.
Velocity-aware controls
Guardrails calibrated for high-speed release cycles, evaluation gates, and review cadences, shaped by having owned delivery timelines under the same pressure.
EU AI Act and assurance readiness
Board-level preparation for classification, obligations, evidence, accountability, and AI operating controls.
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Who I advise
Boards, leadership teams and founders, aligned around evidence.
For boards and investment committees
Quiet authority on AI risk and AI return.
Independent perspective for boards that need to challenge, ratify, and document AI strategy without leaning on the team building it — informed by having sat inside the delivery organisation, not just outside it.
- Pre-board AI readiness diagnostics
- Risk and controls posture review
- Director-level briefings and Q&A prep
- Diligence support on AI-heavy investments
For founders and operating teams
Founder operating discipline for AI-native companies.
A pragmatic governance layer, built on years of owning delivery timelines and teams — for teams that need to ship faster because controls are trustworthy, not slower because they are theatrical.
- AI and agentic operating model design
- Release-ready evaluation and assurance gates
- Cloud-to-AI architecture and decision intelligence
- RegTech opportunity mapping for fintech and adjacent teams
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Engagements
Practical engagement models.
Each is scoped to give the room a clear answer to the question: what changes on Monday?
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2-3 weeks
Board AI Readiness Review
A structured assessment of AI risk, AI return, and AI assurance, delivered as a chair-ready memo with a single page of recommendations.
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4-6 weeks
Founder Governance Sprint
A working sprint to install the minimum viable AI governance stack: inventory, evaluation, escalation, and investor-ready artefacts.
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Quarterly
Standing Advisor
Recurring counsel for the CEO, CTO, CIO, or leadership teams: sounding-board cadence, pre-board preparation, and support when new exposures land.
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Per session
Closed-Room Briefings
Private sessions for boards, leadership teams, and investment committees on agentic AI, RegTech direction, and the UK regulatory environment.
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Resources
Working tools for governed AI delivery.
Practical packs used with leadership teams to clarify decision rights, reduce delivery drag, and move AI initiatives from discussion into governed execution.
Board AI Toolkit
A board-level working set for framing AI opportunity, risk appetite, accountability, and the evidence leaders need before approving material AI direction.
AI Governance Pack
A practical operating pack for roles, controls, model inventory, escalation paths, and review rhythms that teams can actually use.
Founder AI Governance Sprint
A focused sprint for startup leadership teams to install the minimum viable governance stack before investor, customer, or regulatory scrutiny arrives.
Pilot Purgatory & Graduation
A decision tool for identifying why AI pilots stall, what must be true to scale them, and when to stop, redesign, or graduate into production.
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Background
Twenty-three years operating technology, before advising on it.
A career built inside the organisations doing the work, not alongside them: as a Director leading technology transformation programmes in Big 4 consulting, and prior to that, in enterprise technology delivery at Microsoft. That means accountability for delivery timelines, budgets, client outcomes, and the teams responsible for all three — across cloud, transformation, risk, and regulated industry.
The advisory practice consolidates that operating experience around one thesis: in the AI era, the firms that win will be the ones whose governance accelerates delivery, rather than the ones whose governance is performed for an audience. That thesis holds because it was tested from the delivery side of the table first.
- Delivery leadershipProgramme, budget, and team accountability
- AI governanceOperating model, controls, evidence
- Agentic AIAuthority, reversibility, review
- RegTechUK perimeter, model risk, consumer duty
- Cloud technologyArchitecture, delivery, and decision intelligence
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Standards
Contributing to the standards, not just applying them.
The frameworks I advise on are also the frameworks I help shape. Two active affiliations sit alongside the practice.
GCRAI Global Ambassador
Part of an international group advancing responsible AI practice in enterprise and public-sector settings. GCRAI develops GRAICE — the certification framework for AI compliance, risk, and ethics that I reference in board-level engagements.
- Contributor to the GRAICE certification framework
- AI Dialog, Geneva — 2026
- UK and international programme engagement
IST/43 committee member
UK committee member for IST/43 — Information technology for learning, education and training. The committee shapes UK contributions to international standards on educational technology and the emerging ISO work on AI ethics in education. The committee's work on AI ethics in learning intersects directly with the frameworks I bring to boards on responsible AI deployment.
- IST/43 — UK mirror committee for international education technology standards
- Contributing to emerging ISO AI ethics work in education
- Cross-sector perspective: enterprise governance meets edtech
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If AI governance, adoption, or operating decisions are on your agenda this quarter, let us talk.
Introductions are welcome from enterprises, startups, investors, and advisors. Initial conversations are private and exploratory.