Innovation and change leadership
Marketing, media and communications, transformed by an operator.
Twenty+ years at the centre of marketing, media and technology, across the buy side, the sell side and the build side.
We work with marketing, media and communications leadership to redesign how the work gets done around AI. Faster production, clearer decisions, and judgment kept where judgment matters.
A conviction
AI is an exoskeleton, not a substitute.
Everyone now has access to the same models. Durable advantage no longer comes from the technology itself. It comes from two things that have to be protected and equipped: proprietary data, and human judgment.
That conviction is the whole basis of the work. Accelerate production and decision-making with AI, without stripping teams of what makes them valuable.
A UNIQUE POSITIONING
Builder, buyer, seller, operator.
Four vantage points on the same transformation.
Builder.
Founder in residence in Agency Holdcos: Developed and deployed four 7-8 figures global service lines at the intersection of media, data and tech. Founder of two private companies, including a venture-backed AI SaaS platform serving enterprise clients before the LLM wave.
Buyer.
Agency side. Global media strategy, planning and buying at Fortune 500 scale across entertainment, FMCG, automotive and luxury.
Seller.
Vendor side. Enterprise adtech, running an EMEA portfolio across the content and asset supply chain.
Operator.
Product and practice building: programmatic trading, advanced analytics and modelling, ad operations at scale.
$20M+
Global portfolio managed across enterprise accounts
50+
International clients served across every sector
1,000+
Hours of structured client discovery
Global media agency leadership. Enterprise adtech. Venture-backed AI SaaS. HumanJudgment.
The situation
AI is everywhere. The framing around it is not.
01
Adoption without governance.
Generative AI is already inside marketing and communications teams, usually with no framework, no governance and no structured upskilling.
02
Gains that are not captured.
The speed is real: campaigns moving from months to weeks. The gains are lost because the workflow underneath was never redesigned.
03
Measurement disconnected from decisions.
The data exists. The learning loop does not. Effectiveness measurement stays cut off from budget allocation.
04
A risk that is human first.
The real risk is not technical. It is team buy-in, accountability, and preserving judgment where judgment actually matters.
The work
Four levers, from diagnostic to effectiveness.
- 01
Diagnostic. AI and media maturity mapping.
Where AI creates value, where it creates risk, and what is blocking adoption. Deliverable: a prioritised roadmap.
- 02
Transformation. Creative and media workflow redesign.
Re-engineering production and decision chains around AI. Roles are redefined, not just tools. Speed and cost gains actually captured.
- 03
Adoption. Capability building and change leadership.
Bringing teams along in decentralised organisations: training, an accountability framework, internal champions.
- 04
Effectiveness. Measurement and the learning loop.
Reconnecting performance measurement to allocation decisions. Data into demonstrable ROI and campaign-to-campaign learning.
Engagement models
Three ways to work together.
Advisory and framing.
Diagnostic, roadmap, AI governance and steering committee. Setting strategy and priorities before acting.
Interim management.
Operational ownership of a marketing or media transformation. An operator inside the execution, not above the team.
Coaching and training.
Leadership support, team capability building, workshops. Anchoring new practice so it holds after the engagement ends.
Method
- The human factor first. Transformation fails on people, not on tools. Adoption is the condition of performance, and judgment is protected where it counts.
- Operator, not theorist. The work happens inside the team, on live problems, not in a framework handed over at the end.
- Data and judgment as one advantage. Proprietary data and protected human judgment are the two things competitors cannot copy.
- Pragmatic, outcome-led. Every project carries a measurable objective: speed, cost, effectiveness, adoption. Not a volume of slides.
Built, not theorised
The practice builds the tools it recommends.
Consulting OS is an AI operating system for independent consultants. It came out of a problem that shows up in every engagement: teams adopt AI, then run it with no structure. One long thread doing every job. No separation of roles. Context rebuilt from scratch every morning. Nothing that compounds.
Consulting OS applies the answer to the smallest possible unit, a practitioner working alone. Role-separated AI coworkers, continuity between sessions, and a knowledge layer that keeps what the work produces.
It is not the offer on this page. It is the evidence that the method was built, shipped and used, rather than drawn on a slide.
The thinking
The Judgment Gap.
As AI commoditises intelligence, competitive advantage collapses to two things: proprietary data, and independently certified human judgment. Everyone has the same models. The technology is no longer the differentiator. What cannot be copied is the data a company owns and the judgment its people apply.
The corollary is the proof layer. As AI platforms consolidate and outcome-based fees become standard, the party certifying those outcomes is either absent or owned by one side of the transaction. That absence is a structural gap in the market.
The argument is published as an article series on LinkedIn.
Contact
Start a conversation.
If you are redesigning how a marketing or media organisation works with AI, or you want an operator inside the execution rather than a framework handed over at the end, write directly.
Where we work
- Marketing, media, communications and digital leadership in large groups and mid-market companies
- Sectors: FMCG, luxury, automotive, financial services, media, technology
- International contexts and decentralised organisations, multi-market and multi-brand
- Environments regulated by responsible-marketing constraints and consumer data obligations
"The question is no longer whether AI transforms marketing. It is who steers the organisation, and who keeps judgment in human hands."