Strategy & Advisory / Engagement 01

Most companies know something is wrong. Fewer know what.

There is usually a theory about what is holding the company back, and often several that disagree. The work is finding which one is true, before anyone spends money on it.

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§ I. What changed

The environment now turns over in hours.

War. Sanctions. Currency. Supply. Regulation. Every input to a serious decision now moves faster than any planning cycle was built for. And there is more of it than there is time to read. More arrives than a leadership team can weigh while it is still true.

Most companies answer this by deciding less often, later, with more people in the room. It feels like rigour. It is the opposite. By the time the decision is made, the thing it was about has moved.

the plan, written once Q1Q2Q3Q4 written here every input, since today

The constraint was never getting the information. It is reading it while it still matters.

§ II. AI as an instrument

Not a tool your company uses. A faculty your company has.

Most AI strategy is a shopping list. A chatbot here, a document tool there, a licence per seat, a pilot that succeeds. The tooling changes and the organisation stays exactly as it was, which is why so little of it shows up in the numbers.

Done properly, AI is not an item in the strategy. It is how the strategy gets made, tested and changed. It reads the world as it moves, holds what the company already knows, and puts the two together faster than a meeting can be called.

tools, bought nothing else changed one layer, through all of it

Building it in stopped being a question of efficiency. It is a question of staying relevant.

§ III. The method

Diagnose. Design. Advise.

Three steps, in that order. The first is the work. The other two follow from it.

  1. 01

    Diagnose

    I read the company as it actually runs, not as its process documents describe it. Nothing is prescribed before this is finished.

  2. 02

    Design

    You get a system, not a recommendation. What changes. In what order. Who owns it. What it costs. How you will know it worked. Where AI belongs, it is specified like any other piece of infrastructure.

  3. 03

    Advise

    Then I stay close while you build it. If you would rather not carry it yourself, that is the transformation programme, and the team that runs it is mine.

§ IV. Inside the diagnosis

A read of one company, in one order.

Not a survey. Not a benchmark. Not a framework carried in from outside and fitted over the top. It is finished when the gap has a name.

  1. 01

    Sit with how it runs

    Not interviews about the process. The operating week itself: what happens, what gets escalated, and what quietly does not.

  2. 02

    Map where decisions are made

    Who decides. Who waits. What queues, and behind whom. The org chart is rarely the answer and is never the whole of it.

  3. 03

    Separate constraint from habit

    Most of what a company treats as fixed is a decision someone made once, for a reason that has since expired.

  4. 04

    Find where the knowledge sits

    What the company knows, and how much of that exists only in a few heads. Usually where the risk is. Rarely on anyone's register.

  5. 05

    Name the gap

    The distance between how the company runs and how it believes it runs. That distance is the problem.

What you have at the end

  • How the company actually worksDescribed plainly, including the parts nobody says out loud.
  • The gap, namedWhat it costs, and which decisions it is slowing down.
  • The system that closes itWhat changes, in what order, who owns it, what it costs, and how you will know it worked.
  • Where AI belongs in itSpecified like any other piece of infrastructure, and held to the same standard.
  • A sequence you can runWith your own team, or handed to mine. The diagnosis stands on its own either way.

The diagnosis is the product. Everything after it is execution.

§ V. What it keeps finding

The same six things, in very different companies.

Found in homoeopathic medicine, in packaged water, in commodity trade and in regenerative medicine. Four sectors with nothing in common at the surface.

  • A price that lives in one person's head.
  • An approval chain that outlived its reason by a decade.
  • A decision nobody owns, and everybody waits for.
  • A constraint everyone treats as real, that is only habit.
  • A queue behind one person's calendar.
  • Knowledge held by three people and written down nowhere.
medicine water trade regenerative the same crack, every time

None of these appear in a board pack. All of them appear in the operating week.

§ VI. Where I work

The domains.

  • Business transformation and turnarounddiagnose the P&L, rebuild the operating cadence, install the systems, exit when the team owns it.
  • Market entry: GCC and Africago-to-market design, regulatory navigation, partner sourcing, and ground truth on what works in these regions.
  • Trade finance and international tradestructuring import and export flows, working-capital instruments, and counterparty risk on real cross-border deals.
  • Healthcare and biotech business developmentscientific rigour applied to commercial design, from regenerative medicine to clinic networks to public-private models.

§ Onward

Once you know what to do, someone has to do it.

Business Transformation

If what you need is a market rather than a plan.

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