AI Transformation Services

From a commercial challenge to a working proof of concept, in weeks rather than months.

What I do

Strategic marketing and leadership problems haven’t changed much over the years. What has changed is how quickly we can now test an answer. For most of my career, the distance between a good idea and something you could actually try meant agency briefs, R&D budgets and long development timelines. With AI, a lot of that distance has gone, and I’ve embraced it fully.

I work with organisations and leaders to do three things:

  1. 1 Find the right challenge. We start with a commercial problem that matters: a category that confuses rather than converts, a consumer behaviour nobody fully understands, or a strategy that needs testing before money is committed.
  2. 2 Find the AI opportunity within it. We look at where AI could change the answer, not just speed up today’s process, and agree on one idea worth testing.
  3. 3 Build a working proof of concept, and hand it over. I build a live, interactive prototype that people can use and react to. It then goes to your internal IT team, your chosen vendor or agency, or straight to the person who’ll use it, with a clear brief for taking it further.

Why work this way

A prototype changes the conversation. Instead of debating an idea in a slide deck, your team can try it, see what works and decide with evidence. It also gives your IT team or agency a far sharper brief, so what gets built properly later is closer to what you actually need.

My background is brand strategy and marketing, not technology. My strength lies in finding commercially viable ideas in complex and ambiguous situations, and in turning them into something you can test quickly.

Where it applies

Consumer goods, retail, pharmacy, FMCG, e-commerce, wellbeing and media strategy. I often build using one or two proxy categories, so the thinking can travel to yours.

Examples of what I’ve built

Each prototype uses illustrative data or a fictional brand, so the thinking can travel to your category.

94%

of CMOs say translating enterprise strategic goals into actionable plans is a challenge.

Gartner, survey of 403 CMOs, 2025

Strategy

Glidepath: reads outside signals against your strategy and shows how each change moves you towards, or away from, your KPIs.

Strategy Calibration

Where this applies

  • Strategy
  • Planning
  • Marketing leadership
  • Board reporting
  • FMCG

94% of CMOs say translating enterprise strategic goals into actionable plans is a challenge (Gartner, survey of 403 CMOs, March 2025). Strategies are usually set once a year, but the world they were built for keeps moving: consumers, competitors, regulation and markets. By the time the next review comes round, the plan and the reality have often drifted apart.

Glidepath reads outside sources against six strategic questions, then reads what it finds against the targets in a multi-year plan. It shows which changes are moving the business towards its KPIs, which are moving it away, and where the plan may need recalibrating. The demo uses a fictional fast-retail brand, Northline.

There’s no reliable measure of what it costs when leadership and teams aren’t thinking the same way, so here are three figures that come closest.

25bn

hours a year are lost across Fortune 500 companies to ineffective collaboration, according to their executives’ own estimates.

Atlassian, 2024

36%

of directors say their board decks add value, down from 48% the year before.

Board Intelligence, 2024

66%

of directors say the board packs they receive don’t reflect the organisation’s priorities.

Board Intelligence, 2024

Strategic Alignment

DecisionEdge: a plug-in that keeps the leadership team and the people doing the work aligned on a strategic brief, and weighs any later change on its commercial merit, not on who asked for it.

Strategic Meeting Intelligence

Where this applies

  • Strategy
  • Board and investor priorities
  • Leadership alignment
  • Transformation programmes
  • Decision-making

The people who sit on the board and face investors carry a view of the business that a team member several layers down rarely has. As a strategic brief is cascaded through those layers, some of its essence gets lost along the way. Most organisations can’t become completely flat, and they don’t need to. But when the thinking drifts, the team goes back and forth with the leadership until the work reflects what was actually needed, and decisions that matter to shareholder value take longer than they should. And when the thinking changes later, the change is too often decided by who asked for it rather than by its commercial case.

DecisionEdge is designed as a plug-in for the tools your teams already use, not another tool to learn. When a strategic brief is saved to your project folder or planning tool, it drafts the questions each member of the project board is likely to ask and emails them to confirm, change or add to. The project lead receives one consolidated set, and the brief is signed off as version 1. When new thinking emerges after a meeting, DecisionEdge weighs the change against the agreed brief on its commercial merit, covering revenue, margin, cost, time to market and risk, and compares two paths: execute now and optimise, or pause and rework. It costs both paths, including the risk of a wrong turn, so the decision rests on numbers rather than preference. If the change is material, the project board re-signs off the brief by email and it moves to version 2, so everyone keeps working from the same agreed thinking. The demo shows the logic as a simple web page, using four fictional briefs, and nothing is actually sent.

60%

of digital FMCG ad spend generates a negative or uncertain return.

WARC

Consumer Obsession

SeeThrough: scores how well a message will land with your target consumer, before the media budget is committed.

Three-Dimensional Instant Consumer Intelligence

Where this applies

  • FMCG
  • Regulated categories
  • Campaign planning
  • Media strategy
  • Consumer insights

Nearly 60% of digital FMCG ad spend generates a negative or uncertain return (WARC). Globally, brands wasted an estimated $73 billion on digitally unsuitable communications in a single year (Campaign Live / Campaign Asia, 2023). The inputs that would reduce this risk already exist in most large companies: consumer tracking data, social listening, peer-reviewed behavioural science, but they are never in one place when the agency and brand team are actually creating the content. So teams build on the memory of previous campaigns, rely on boardroom opinions shaped by individual taste, and then commission expensive research to find out, too late, whether the communication works. This is the opposite of consumer obsession. And it is standard practice.

This tool brings those three data points together at the point of creation, not after. Define your target consumer in category terminology. The tool builds a driver and barrier map from three simultaneous signals: your brand’s ongoing consumer tracking data; live social signals including Reddit, reviews, and ratings; and the latest peer-reviewed science. Then paste in your headline, claim, script or visual asset. It scores it on Switcher Resonance (0–100), surfaces verbatim consumer quotes from live communities, and indicates where the communication may be missing the intended audience, before the budget is committed. It does not replace pre-launch comms testing. It gives you a stronger, more grounded brief to take into research.

57%

of US work hours could, in theory, be automated by today’s technologies.

McKinsey Global Institute, 2025

Future of Work

AgentSim: follows an apparel order handled end to end by AI agents, with people stepping in only where judgement is needed.

Future of Work Simulation

Where this applies

  • Operations
  • Supply chain
  • Customer service
  • Retail
  • Operating model

Today’s technologies could, in theory, automate about 57% of US work hours (McKinsey Global Institute, "Agents, robots, and us", November 2025). McKinsey’s conclusion is that the future of work will be a partnership between people, agents and robots. Most organisations can talk about that future, but few can see what it looks like inside a real process.

AgentSim follows a single apparel order from start to finish, handled by a team of AI agents, each with its own job. People step in only where judgement or approval is needed, so you can see exactly where the human decisions sit. The demo uses a fictional brand, Northline.

275

interruptions a day for people using Microsoft 365, around one every two minutes.

Microsoft Work Trend Index, 2025

Leadership Operating Model

Mission Control: an AI chief of staff, with scheduled agents that scan the news, map who to connect with and prepare the day’s priorities.

The AI Chief of Staff

Where this applies

  • Marketing leadership
  • Brand newsrooms
  • Content operations
  • Stakeholder mapping
  • Executive productivity

Senior marketers spend the day moving between inbox, calendar, news, LinkedIn and spreadsheets, and the thinking work, spotting the story that matters this week and building the right relationships, gets pushed to the evenings. Microsoft found that people using Microsoft 365 are interrupted every two minutes during core working hours, around 275 times a day (Microsoft Work Trend Index, "Breaking down the infinite workday", June 2025).

Four scheduled AI agents share one Google Sheet. A topical engine scans news and trade press, overlays a positioning framework and drafts posts, which a separate reviewer agent checks for facts, voice and category rules. A weekly audience builder researches who to connect with and why, and writes a personal note for each. A daily chief of staff brief pulls together priorities, commitments and follow-ups. Everything lands in one dashboard, and nothing is published or sent without a human decision. It runs on tools already on the desk, with no additional martech. The demo uses fictional data.

74%

of consumers walk away from a purchase because they are overwhelmed by choice.

Accenture, 2024

Consumer Decision

Find Your Fit: three questions, then one named product recommendation with a plain-English reason.

The Recommendation Engine

Where this applies

  • Consumer goods
  • Retail
  • Pharmacy
  • FMCG
  • E-commerce

74% of consumers walk away from a purchase because they are overwhelmed by choice, and 41% say it takes more effort to decide than it did three years ago (Accenture Consumer Pulse Survey, 2024: 19,000 respondents across 12 countries). The problem is the explosion of choice, poor product navigation support from manufacturers, and the near-total absence of plain-English guidance at the point of decision. The consumer who picks the wrong product first takes years to win back, if ever.

Three behavioural questions: motivation, context, preference. One named product suggestion with a plain-English rationale. The proof of concept is built across two of the most commonly confusing categories, wine and tobacco alternatives, with outputs calibrated by market, starting in the UK. The logic is portable to any category where complexity erodes conversion at the moment of decision.

79%

of people who try to stop smoking relapse within six months.

PubMed, 2011

Product Innovation

NotSmoke: maps a habit and the moment it fills, then suggests plant-based rituals to explore, each with its history of use.

5,000 Years of Plant Intelligence

Where this applies

  • Harm reduction
  • Tobacco
  • Alcohol
  • Processed food
  • Behavioural health

79% of people who attempt to stop smoking relapse within six months (PubMed, 2011, replicated in multiple subsequent studies). The leading reasons are not nicotine craving alone: social triggers and behavioural discomfort account for over 60% of relapse drivers (Tobacco Induced Diseases, 2023). Most cessation products replace the chemical. None replace the pause, the hand-to-mouth action, or the sensory moment that signals the shift. That is a design failure, not a willpower failure. For thousands of years, societies have used botanicals to manage exactly these moments, from Zen morning incense to pre-dawn tea ceremonies to Indigenous sunrise rituals. The science of why those plants worked is not alternative medicine. It is documented neurochemistry. This tool explores that 5,000-year body of knowledge to find possible alternatives, not just for tobacco, but for any product where the dependency is as much behavioural as chemical: alcohol, sugar, processed food.

Select the product you want to replace, a ritual moment, and a craving profile. The tool maps the reward loop: trigger, ritual, dissolution, neurochemical shift, loop closure, and suggests a plant-molecule protocol intended to address both the chemistry and the behaviour. These are directions for exploration, not clinical substitutes. Every suggested botanical is grounded in a historical precedent timeline, from 800 CE Japan through 1000 CE China, the Americas in the 1500s, and into modern Europe, showing centuries of documented human use, not brand claims.

$402bn

projected size of the global dietary supplements market by 2034.

Global Supplement Industry Trends, 2025

Hyper-Personalised Wellbeing

Pickform: suggests a starting botanical formula for your goal and biology, and helps you track what changes.

Botanical Performance Simulator

Where this applies

  • Nutraceuticals
  • Sports performance
  • Preventive health
  • Adaptogens & nootropics

The global dietary supplements market is projected to reach $402 billion by 2034 (Global Supplement Industry Trends, 2025), with the brain health segment alone expected to more than double to $7 billion in Europe by 2033 (Market Data Forecast, 2026). Over 63% of consumers believe cognitive health is central to their overall wellbeing (Favoured, 2025), yet the category remains decipherable only by serious biohackers. The label tells you what is in it. It almost never tells you why, in what combination, or whether it is right for your body. And almost nobody accounts for the fact that compounds metabolise differently by age, sex, and ethnicity. Consumers are asked to trust formulas they have no easy way to evaluate.

Select an optimisation goal: Deep Focus, Stress Recovery, Morning Activation, Sleep Onset, Social Ease, or Physical Recovery, and dial four performance parameters, then input your biological profile. The tool uses published research on how compounds interact with different biological profiles to suggest a formula: active ingredients, approximate ratios, preparation notes, and relevant cautions, as a starting point for personal experimentation. A 7-day tracking module lets you log wearable indicators, such as Oura Ring readiness score, HRV, sleep score, and resting heart rate, alongside your own daily notes. The goal is to help you notice patterns, not to establish clinical outcomes. There is no proven 1:1 relationship between these supplements and any specific result. This is a thinking tool, not a prescription.

Let’s talk

If you have a commercial problem you’d like to test, or an AI idea you’d like to see working before committing a budget, I’d be glad to talk it through with you.

Get in touch