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Someone senior owns the AI programme.

Decide where AI is worth the effort. Set priorities, give each initiative an owner, and keep the work accountable to your business goals.

The Lotus, Brand Wisdom's mascot: its four blue petals stand for the four services.
The Lotus's four blue petals are our four services, and Fractional AI leadership is one of them.

What this usually looks like before we arrive

  • Six pilots, no programme.

    Every department is trying something. Nothing is measured, nothing has been retired, and nobody can say what the year returned.

  • The title without the mandate.

    Someone has been asked to look at AI alongside their day job. They have no budget and no authority to stop anything.

  • The platform came before the decision.

    A tool was chosen at a conference. Now the work is being bent to fit it, and the licence renews in March.

Decide, ship, then hand it over.

This is an operator’s job rather than a strategy one. The output of the first month is a ranked list with a business number against each line, not a deck.

  • Find the constraint, not the annoyance.

    The filter is not what irritates people most. It is what breaks first if your volume doubles next quarter. Those are rarely the same thing.

  • Live systems before a strategy.

    We ship in the highest-volume workflow first, instrumented from day one, so the next decision is made on a number rather than a feeling.

  • Every initiative gets an owner who is not us.

    A named person inside your team, with the training and documentation to keep it running. If nobody inside owns it, it stops working the month we step back.

  • A written list of what to leave alone.

    Part of the recommendation, not an afterthought. It is usually the section a board finds most useful, and it is the reason the rest gets approved.

How the engagement runs.

Deliberately front-loaded. If the first weeks do not change what you were about to spend money on, the engagement has not earned itself.

  1. Map

    Sit with the teams. Find where the hours go and what breaks first at double the volume. You get a ranked list with a business number against each line.

  2. Ship

    The first systems go live in the highest-volume workflow. The first is deliberately low-risk: somewhere a wrong answer costs an edit, not a customer.

  3. Make it stick

    Training, documentation and a named owner in each team. Then the case for what comes next, built from what the first systems actually returned.

  4. After

    A monthly review that keeps the programme accountable to your numbers — including an honest recommendation when something should be stopped.

Three shapes.A fixed-term engagement, an agreed number of days a month, or the function delivered by our team while you decide whether to hire permanently.

What is included, and what is not.

What this covers

  • Where to start, in what order, and what to stop
  • Whether your sources and data are ready to build on
  • Build or buy, and a straight review of the vendor in front of you
  • Team ownership, training and the handover that follows
  • A monthly accountability review against your own numbers

What this is not

  • Not a governance function for a regulated institution
  • Not model research — we choose models, we do not train them
  • Not a signed-off model risk framework for a bank or a pharma major
  • Not a replacement for a permanent hire, where you need one

Tell us what needs attention.

Ask a question first, or describe the work in your own words. A person replies within one working day, and we will tell you if a different service fits better.

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Tell us what’s going on and we’ll help you work out the next step. A person reads every one of these, and you’ll hear back within one working day.

What should we work on?

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