Which is good news: people problems are solvable. I use behavioural science, storytelling and change management to make your technology deliver business outcomes.
For enterprises adopting AI, deep tech founders entering Western markets, and the ecosystems that grow them.
startups advised on go-to-market and investor narrative
Startup Wise Guys, Seeds of Bravery, UAtech
non-technical professionals trained in AI
Google Foundations trainer team
Perplexity ranking for a client's AI product, next to IBM DOORS
EltegraAI, 2025
revenue growth for a telecom middleware platform
XME.digital
Every figure on this site has a named source. Ask me for any of them on the call.
Tools bought, pilots running, returns unclear. Nearly 90% of organisations already use AI in at least one function; 60% see minimal returns and only 5% reach outsized results (BCG). I work on the gap: strategy, readiness, adoption, workflows, and the behavioural side of change - because the resistance is human, not technical.
See the enterprise offersSeed to Series B, funded, no senior marketing leadership yet. The technology works; the narrative does not convert with investors or Western enterprise buyers. I run the audit, own the strategy, or build the fundraising story with you - grounded in the TRL/BRL model and 2026 funding data.
See the deep tech offersCohorts full of strong science and thin commercial narrative. I design and deliver the workshops founders keep quoting: AI for GTM, storytelling for deep tech, enterprise pilot strategy, tech show bootcamps, create-the-market sizing, getting recommended by AI search. Available as full programme design or one-hour punch workshops - built on delivered cohorts and 2026 data, including AI House's Deep Tech Accelerator, where one of my mentee teams won the pitching competition.
See the ecosystem offersAn AI requirements-engineering product ranked in the top three of Perplexity answers, next to IBM DOORS. The result: 80+ enterprise demo requests, 35+ demos and 10 pilots, including two NASDAQ-listed companies. No paid acquisition.
Role: Director of Product MarketingRepositioning and go-to-market for a telecom middleware platform: 21.93% revenue growth and a deployment worth around $500K with Swiss operator Ticinocom.
Source: XME.digital company dataLawyers, marketers and operators trained in AI foundations as part of Google's trainer team. That experience is the base of the workshop formats I now run inside companies.
Google Foundations programmeSix AI skills and agents in production for my own marketing: an AI Model Scorecard tracking OpenAI, Anthropic and Google, plus agents for AEO/GEO content updates, competitor reports, media outreach analytics, newsletters and in-voice content generation. Human judgement at every gate.
Own production stackFor established organisations making AI deliver, beyond the pilot
The behavioural layer runs through all of it: 76% of executives think teams are excited about AI; 31% actually are (BCG / Columbia, 2025)
For funded founders whose technology outruns their narrative
Grounded in the TRL/BRL model: technology and business readiness must advance in parallel, not sequentially
For accelerators, delegations and programme operators
Built on real cases and 2026 data - including the AI House Deep Tech Accelerator cohort, where a mentee team won the pitching competition. Ask for the programme menu
Every engagement starts with a paid, fixed-scope audit. It protects your budget and my judgement - and it is the fastest way to find out whether we should work together at all.
Every statistic I use can be traced to a named source. The same standard applies to your materials once I am involved: nothing goes to an investor or a buyer that cannot survive a fact-check.
My job is strategy, narrative and decisions. Design, paid media and engineering are done by people who do them daily - directed by me, never improvised by me.
I use AI tools daily and teach teams to do the same. Anything AI-assisted is checked by a human before it reaches you, and I will tell you which is which.
Deliverables, effort budgets and out-of-scope items are listed in every offer. Extras are welcome - as priced add-ons agreed in advance, not as silent scope creep.
Every recommendation traces to work I have delivered - EltegraAI, XME.digital, the AI House cohort - or to named 2026 data. No borrowed playbooks, no theory without a case behind it.
Published in
Including the #1 trending piece globally on HackerNoon - 20K+ reads - and ITnow via Oxford Academic
Spoken at
Ecosystems and judging
Mentor at Startup Wise Guys and EBRD Star Venture; judge at Scottish EDGE and AI House; Strategic Partnerships & Scaling Director Europe at Tech Embassy
Strategic thinker, hands-on doer. My work is synthesis: connecting technology with the behavioural science of how people actually operate, through storytelling and change management.
Twenty years across FMCG, automotive, telecom and B2B tech taught me the same lesson from different angles: technology delivers business outcomes only when the humans around it change how they work. That is the layer I own - strategy that survives contact with real teams.
The credibility signals, sourced: a Gold SABRE Award (Ogilvy, 2012 - Top 50 PR campaigns worldwide), an MSc in Applied Systems Analysis with First Class Honours, Google Foundations AI trainer to 200+ professionals, an ICF coaching credential, and current roles as Strategic Partnerships & Scaling Director Europe at UAtech and advisory board member at Global Tech Advocates Cyprus.
Away from the laptop: family hikes in the Cyprus mountains, Brazilian jiu jitsu, and abstract painting - shown in UNESCO's Seeds of Culture project.
Because strategy is a choice
Strategy is not a plan or a vision deck - it is a set of choices about where to play and how to win. The book behind the line I keep repeating to founders: you are not too small for strategic goals; you are doomed to stay small without them.
Because diverse organisations and teams simply perform better
Generalists triumph in a specialised world - and the evidence runs from sport to science. Twenty years across four industries is exactly the range this book defends, and why cross-domain teams keep outperforming narrow ones.
Because every leader needs to be confident in decisions taken
Most bad decisions happen before thinking starts - in the default reactions nobody notices. Parrish's frameworks are the ones I walk founders through when a business-model choice has to be made under pressure, with incomplete data.
Deep tech go-to-market, AI adoption that survives contact with real teams, and what AI search means for how buyers find you - published where the conversation happens.
Like a good doctor, I start with anamnesis - a full, vivid picture of what you need to solve and the outcomes your business needs. You leave with a structured understanding of your situation and ideas to try or test before we speak again.
Prefer LinkedIn? Message me there.