Activity without direction
Everyone is experimenting. Nobody owns the strategy.
Fractional AI & Technology CTOFrom the boardroom to production.
Turn AI ambition into
business advantage.
I help CEOs turn scattered AI experiments into products in production, without hiring a full-time AI CTO.
20 questions. A clear score. Your next 90 days.
Selected work
Scoreline
87%
Chiswick Grove
Omnicom
20+ yearsCTO and product leadership
$300M+Omnicom technology transformation
Production AIConsumer, HealthTech, media
CEOs, boards, investorsTechnical and commercial ownership
01 / The real challengeMost companies don’t
Most companies don’t
have an AI problem.
They have an
ownership problem.
The work stalls because nobody owns the path from experiment to production. I provide that ownership without adding another permanent executive.
Too many possibilities
Dozens of use cases. No clear way to decide what matters.
Prototypes without production
The demo works. Reliability, integration and real users are another question.
Tools without standards
Developers use AI coding tools independently. Architecture, quality and risk need shared ownership.
02 / A useful place to startHow AI-ready is
How AI-ready is
your organisation?
Answer 20 questions. Get your AI Readiness Score, assess your operating model and see where to focus first.
Five dimensions of readinessA personalised 90-day action planA report you can share with your board
Get my scoreAbout 5 minutes · No preparation needed
AI Readiness ScoreILLUSTRATIVE EXAMPLE
67/ 100
C: EmergingRoom to build. A clear place to begin.
Strategy
72
Data
58
Engineering
81
Governance
46
Adoption
70
Your result is calculated from your answers.
03 / Ways to work togetherThe right level of ownership.
The right level of ownership.
For the stage you’re at.
Clarity first. Delivery next.
Continuity where it matters.
01↗
Find the right starting point
AI Opportunity Audit
Typically 2–3 weeks
Identify where AI can materially change revenue, cost, customer experience or engineering velocity.
- Executive interviews & current-state assessment
- Opportunity map & ROI / effort matrix
- Build vs buy, architecture & data readiness
- Governance gaps & a prioritised 90-day plan
02↗
Move from idea to production
AI Transformation Sprint
Typically 6–8 weeks
Take a high-value opportunity through product definition, architecture and delivery.
- Product definition & AI architecture
- Agents, MCP, RAG where appropriate
- Model selection, APIs & integrations
- Evaluation, observability, security & delivery
03↗
Put senior ownership in place
Fractional AI & Technology CTO
2–4 days a month, retained
An executive partner for the decisions that connect AI, technology and the business.
- AI strategy, product strategy & board advisory
- Architecture & engineering performance
- Vendors, organisation design & recruiting
- Governance, build vs buy & due diligence
04 / Experience behind the adviceBuilt under real constraints.
Built under real constraints.
Accountable for real outcomes.
Consumer scale. Regulated products.
Complex technology organisations.
3,500+
Engineering organisations of this scale
20+ years
Across technology and product leadership
Portfolio CTO
Diligence and executive advisory
Fantasy Football Hub / Scoreline
Rebuilding around real-time data and AI.
CTO leadership across mobile, web, backend services and data architecture. An AI prediction engine, GCP modernisation and real-time Live Mode, scoring and rankings, with AI embedded in product and engineering workflows.
Omnicom
Technology change at organisational scale.
Leadership of a $300M+ technology and data transformation programme, spanning large, distributed engineering organisations and the operating models behind them.
87%
Taking AI research into a production product.
At 87%, I helped take an AI-led HealthTech platform from research into a production product, under the delivery and governance constraints of a regulated environment.
Chiswick Grove
Executive ownership across a portfolio.
Fractional and portfolio CTO work, technical due diligence and acquisition support. Technology decisions connected to commercial priorities.
Strategy is only useful
when it survives delivery.
01→
Discover
Understand the business.Commercial priorities, people, systems and constraints.
02→
Prioritise
Decide where AI matters.Value, effort and risk. A short list worth committing to.
03→
Architect
Design the system.Data, models, integration and the controls to make it reliable.
04→
Deliver
Ship production capability.Small releases. Clear evaluations. Measurable outcomes.
05→
Scale
Make it repeatable.Standards, ownership and capability that stay with your team.
Who I sit with
CEOCFOCPOHead of EngineeringBoard
Dunstan AlexanderAn engineer’s depth.
An engineer’s depth.
An executive’s perspective.
I’ve spent more than two decades building and leading technology organisations across AI, data, consumer platforms, FinTech, betting, HealthTech and media.
I work with CEOs and boards on commercial priorities, and with engineering teams on the architecture and operating decisions that make them possible. That includes high-availability, low-latency platforms, technical due diligence and engineering governance.
PhD Aeronautical Engineering · MSc Mechanical Engineering · MEng Computer Science (AI & Cognitive Sciences)
Let’s talk about your businessI also work with PE and VC on technology diligence and portfolio support →You don’t need another
AI presentation.
You need to decide what to build.
If you want someone to take ownership of the technical
and commercial decisions behind AI, let’s talk.