Every organisation I work with arrives with a version of one of these. None of them are a technology problem. All of them are fixable.
Licences bought, pilots launched, demos applauded. Twelve months later the P&L looks exactly the same. You don't need another tool; you need to know which use cases actually pay and in what order.
How I help you fix this →A webinar and a certificate don't change how anyone works on Monday. Your teams need hands-on practice on their own real tasks, and you need evidence of what actually changed.
How I help you fix this →Article 4 already requires AI literacy for staff, and the risk-tier obligations are landing in phases. Waiting for enforcement to find out where you stand is the expensive option.
How I help you fix this →The research is consistent: most organisations are paying for AI, and very few are getting paid back. The difference isn't the technology they buy. It's the strategy, governance and workforce capability wrapped around it.
Sources: McKinsey, The State of AI (2025) · BCG, AI Adoption Research (2024) · MIT, The GenAI Divide (2025)
Experiential working sessions: AI fluency, AI use cases, agents, innovation, design sprints, leadership offsites, agile and product. Your team leaves changed, not just informed.
A deep dive into your operational bottlenecks. You receive a prioritised roadmap identifying high-impact AI use cases to protect margins and decouple revenue growth from operational headcount.
Fractured tech spend creates silos and escalating debt. I help leadership step back and design cohesive technology strategies that centralise tooling, maximise workforce adoption, and deliver true operational ROI.
AI is useless if your team won't use it. I help you centralise your AI tooling to eliminate "shadow AI" risks and build the change-management frameworks needed to drive workforce adoption, just as I did leading the AI Centre of Excellence at Checkout.com.
When off-the-shelf tools fall short, I design bespoke AI solutions, working with your engineers or delivering through my own bench. Typically deployed on AWS or GCP to meet security and GDPR requirements.
Classify your AI systems against the EU AI Act's risk tiers, close the gaps before enforcement deadlines hit, and put the governance, documentation, and human-oversight controls in place to keep you compliant as the regulation evolves.
The thinking behind the workshops, open to everyone. Start here.
Eight pillars across three layers (People, Organisation, Ecosystem). Click any segment and see what good looks like there. Most leaders find their blind spot inside two minutes.
Score your organisation on AI capability, safe use and EU AI Act readiness, and get the one thing to fix first. Instant results, details optional.
A ready-made, anonymous question set to run across your staff, so you know how capable and how exposed your workforce really is. Real data instead of guesses.
I led the AI Centre of Excellence at Checkout.com. Before that, I ran innovation and transformation at J.P. Morgan and Goldman Sachs. Today I also build my own software company. Twenty years of getting new technology working in businesses where the stakes are high and the rules are strict.
Now I do it for organisations like yours. I work directly with boards and leadership teams: straight answers on your AI strategy, governance that stands up to scrutiny, and workshops that get your people actually using the tools you're paying for. No jargon, no theatre. Just the shortest safe route from where you are to where you need to be.
I only take on 2-3 active advisory clients at a time to ensure maximum impact.
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