AI advisory for leadership

Build the capability.Transfer the knowledge.

I work with CEOs, founders and organizational leaders on applying AI inside their own context — then hand the thinking over so it stays.

  • Advisory retainers
  • Leadership intensives
  • Embedded build & transfer

The record

Every capability you now take for granted began as somebody else's experiment.

  1. Rosenblatt · 1958

    A machine learns to tell one shape from another by adjusting weights.

    Every recommendation, forecast and fraud check you rely on runs on that idea.

  2. ImageNet · 2012

    A network wins an image contest by a margin nobody expected.

    Machine perception is a commodity API, priced per thousand calls.

  3. Transformers · 2017

    Eight researchers publish a paper about paying attention.

    The architecture underneath nearly every model your organization now uses.

  4. General models · 2023

    A chat box arrives on every desk, unasked and ungoverned.

    Your people are already using it. The only open question is how well.

The challenge

Adoption is nota tooling problem.It is a thinking problem.

Organizations buy licences and call it strategy. What actually changes outcomes is how decisions get made once the tools are in the room.

The offering

Three ways in, all of them ending with your organization holding the capability.

01Programme

Organizational transformation through habit change

Transformation doesn't happen in a strategy deck. It happens in what people actually do on a Tuesday. Shiftspace programmes work the individual and the organizational level at once, so new behaviour holds after the programme ends.

  • Diagnosis

    A read of how the work actually happens today — the habits, defaults and workarounds nobody wrote down.

  • Individual practice

    The small daily habits that change how one person works, chosen with them rather than for them.

  • Organizational practice

    The rituals, defaults and meetings that either hold the change in place or quietly undo it.

  • Measured on behaviour

    Progress is read from what people do afterwards, not from attendance or satisfaction scores.

A way of working your organization keeps doing once I'm gone.

What this work is

Three things people expect, and what I do instead.

It's not a tooling decision

It's a decision about how your organization thinks

It's not about hiring AI people

It's about your existing people becoming fluent

It's not a pilot programme

It's judgment, rebuilt at the pace of the work

Where you sit

Most organizations know their tools. Very few know their position.

Clear position on AI

Low fluency

Strategy on paper
Compounding advantage
Drift
Shadow adoption

High fluency

No stated position

Context

The numbers behind the urgency.

0%

of leaders say AI matters to strategy. Far fewer can say what theirs is.

Placeholder — replace with a sourced figure

0x

the gap between organizations with AI fluency and those buying licences.

Placeholder — replace with a sourced figure

0

consultants you should still need in the room two years from now.

0 yrs

working alongside leadership teams on how technology changes decisions.

Replace with your own number

Which frame

The future is not a destination. It's an allocation.

70%

Optimising what exists

Augmenting today's processes to cut cost and protect margin. Necessary, and finite.

30%

Building what's next

Rebuilding how the organization decides, so the advantage compounds instead of expiring.

The ladder

Capability is built in order. Skipping a rung is why programmes stall.

01

Literacy

Shared language and an honest read of what these systems can and cannot do.

02

Fluency

Leaders and teams working with models daily, in their own real problems.

03

Leverage

The two or three places where AI changes the economics of your business.

04

Institutional memory

Judgment that stays after I leave — written down, taught, and owned internally.

The goal is not to make you dependent on an advisor. It is to make the advisor unnecessary.

Your Name

Start a conversation

Bring me a decisionyou can't yet make.

Tell me the context and what's at stake. I'll reply with an honest read on whether this is work I should be doing with you.