AI transformation consultancy · one‑to‑one
AI transformation,
led by an operator —
not a theorist.
Most AI advice comes from technologists and consultants who have never carried a P&L. I have run a €300M business through transformation at Philips and scaled growth on the world’s largest advertising platform at Meta. I help boards and senior teams turn AI into operating advantage — without betting the business.
For boards, CEOs & senior leaders · Experience, multiplied.
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Why this is different
The gap most companies fall into isn’t a lack of AI tools. It’s the absence of someone who has sat on both sides of the table — run the operating business, and scaled the platform — and can translate between them at board level.
Boards & owners
You need a credible, independent read on where AI actually creates value — and where the hype will cost you.
CEOs & senior teams
You want a transformation plan you can defend to shareholders, with execution that upskills your people on real work.
Established businesses
Producers and operators who know AI matters but haven’t yet turned it into operating advantage.
Maxim Korseko · Founder, iMentiX
About
Maxim Korseko
P&L operator from Philips. Platform translator from Meta. Built for the transition your business is facing.
For 17 years at Philips I rose from commercial roles to running a €300M Personal Health business across Russia & Central Asia, and co-led the global pricing transformation at Amsterdam headquarters. For the last five years, as Group Director of E-commerce for Central & Eastern Europe at Meta, I have scaled the regional business and advised senior leaders on digital and AI-driven growth. I’ve made the move from legacy industry into a platform once already — which is exactly the transition I now help established businesses make with AI.
EMBA, IEDC-Bled School of Management · CIM Professional Diploma in Marketing · Lean Six Sigma Black Belt · operated across 5 countries
The engagement · board-level
The Board-level AI Transformation Diagnostic
A paid, board-facing session that turns vague AI interest into a concrete board decision — what to stop, start, scale and govern — tied to your P&L. Not a workshop. Not a pitch.
90 minutes, board-level
A structured working session across your current AI reality, your P&L pressure, the AI leverage map at 30 / 90 / 180 days, and governance risk.
An operator’s scorecard
- An AI Operating Scorecard
- A 30-day P&L Opportunity Map — defensive, offensive, governance
- 3 use cases ranked by business value & execution risk
- A board-level AI risk register
Your call — no hard sell
Execute internally with the scorecard, run one focused 30-day pilot, or engage me as your fractional AI board advisor — capped to a handful of clients.
From €4,900 · a paid diagnostic, not a free intro · 2–3 engagements a month
Apply for the Diagnostic →The approach
The board-level translator
Closing the gap between where a business is and where AI can take it needs two capabilities that almost never live in the same person.
Operator discipline
How a real P&L behaves, how pricing moves margin, how channels actually buy, how organisations ship at scale. Earned over 17 years running industrial businesses.
Platform fluency
How recurring-revenue and AI economics work, how platforms commercialise, how to structure partnerships with companies on two-week release cycles. Earned scaling growth at Meta.
The translation
I’m not your CPO, AI engineer or M&A lead — each is a specialist hire. I’m the board-level partner who selects the bets, evaluates the specialists, structures the deals and keeps platform discipline from being quietly re-absorbed by old instincts.
Industrial-to-AI transformations usually take four to six years. With an experienced translator at board level from day one, first real motion is realistic in 18–30 months — and that compressed time is the single largest value pool in the plan.
How we work together
From first read to a team that runs on AI
A practical path, with me embedded alongside your leadership — not a slide deck handed over and gone.
Assess
An independent, board-grade read on where AI creates real value — and where it won’t — mapped to your strongholds.
Plan
A prioritised roadmap presented as independently-approvable moves you can defend to the board and pull or pause at will.
Build
Execution in-market on the highest-value bets, while your team learns the discipline on real work.
Enable
Capability, governance and credentials that stay with your organisation after the engagement ends.
Selected work
What this looks like in practice
Recent engagements, anonymised. The details that identify a client stay confidential — what transfers is the shape of the work and the thinking behind it.
Transformation thesis & valuation re-rating
A founder-controlled industrial manufacturer at record operating performance
Built the complete board-level case for moving from a pure-hardware identity toward an intelligence-augmented, recurring-revenue model — reframed so a sceptical operator board would back it rather than reject a “tech pivot.” Ranked five value levers from capital-light to ambitious, each honestly gated on a single anchor contract; engineered an ownership structure that financed the build as independently-approvable components while preserving family control; and scored fifteen adjacent opportunities against the firm’s real strongholds. The underlying analysis was generated through a multi-model AI research method and pressure-tested with operator judgement.
Outcome: a quantified, defensible path to re-rate the business by several multiples of its valuation — with 2–3 years of compressed time-to-market as the single largest value pool.
A new commerce venture, validated before it was built
A fast-scaling consumer content app with tens of millions of users
The company wanted to turn an intense fan relationship into a new commerce business without a heavy capital bet. I architected the full venture — a product line tied to its own IP, bound to the app by a “buy-to-unlock” mechanic — and designed the paid-acquisition stack as the unfair advantage, feeding lifetime-value signals back to the ad platform. Crucially, I modelled the economics honestly: showed the first order doesn’t pay back, named the core assumption as a hypothesis, and replaced a risky launch with a near-zero-cost smoke test and a pre-committed kill threshold.
Outcome: a decision-ready, falsifiable 30-day launch plan — with the full IP, AI-copyright and regulatory map handed to named owners — run on a lean 5–7 person team plus an agent web.
AI literacy with a measurable competence gate
A multi-country private healthcare group with several thousand employees
The client had enterprise AI tools but no safe, practical way to put them into the hands of frontline business teams. I designed a staged program: a three-week discovery sprint that mapped where AI demand and strategic priority actually converged, then a role-specific, in-language course built around a “safe-use decision tree,” an objective skills assessment, and an 80% competence gate that mechanically governs whether the program scales — with a full compliance pack so legal, security and HR could approve without friction. A multi-model AI council adversarially stress-tested the design before the client ever saw it.
Outcome: advanced from proposal to a live pilot with a 120+ person operational team and a board-ready business case for rollout.
All client identities, sectors and figures that could identify an engagement are withheld by design. References available on request.
“Thrives in perpetual turbulence and capitalises on disruption — with a rare ability to grasp complexity, engage diverse stakeholders, and develop unique and potent solutions.”
Dr. Nadya Zhexembayeva · faculty, IEDC-Bled School of Management
Apply for a Board-level Diagnostic.
Tell me the P&L decision you’re weighing and the question you want answered. I read every application myself and reply personally — this goes straight to my inbox, not a form queue.
Or email me directly: [email protected]
Experience, multiplied.